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marathon 11 15 december 2018 08:42

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Waarde van het vermogen wordt op 31 december vastgesteld.
Heb er wel beeld bij dat een overnameprijs pas in het nieuwe jaar wordt gecommuniceerd.
Scheelt toch al snel vele duizenden euro’s voor iedereen om maar niet te spreken over de grootaandeelhouders.

Energy 15 december 2018 08:59

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@martinmartin je kan het ook van de andere kant bekijken. Het lage volume van nu kan ook betekenen dat short fondsen op zoek gaan naar andere prooien en denken bij tt valt nog weinig te halen en te groot risico. Normaal gesproken is tt een aandeel dat in onrustige markten veel harder daalt dan andere aandelen.

Iedereen is aan het afwachten. Kan natuurlijk best hard gaan als er een klein beetje vertrouwen komt. Zie bijvoorbeeld amg, wessanen en besi.

[verwijderd] 15 december 2018 09:14

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quote:
martinmartin schreef op 15 december 2018 02:40:
Opvallend hierbij is dat op het moment dat TT TTT in de etalage heeft gezet en dit volgens de laatste berichten 700 mio tot 1,5 miljard op gaat brengen dit niet heeft geleid tot de te verwachten spike in de koers.

Enige reden die ik kan bedenken is dat de markt niet gelooft in een verkoop van de overige BUs nadat de verkoop van TTT is afgerond en dat men extreem weinig vertrouwen heeft in het zelfstandig scenario zoals aangegeven door HG met zijn strategiewijziging om de volledige focus te leggen op Automotive en Enterprise.

Het is Harold Goddijn geweest die de markt op dat been heeft gezet door aan te geven dat alleen Telematics te koop is (eerdere uitspraken spreken dat overigens tegen).
Uiteraard heeft de markt weinig vertrouwen in het bedrijf TomTom om met de overige BU's door te gaan immers voor de aandeelhouder is in ieder geval het aandeel een bar slechte belegging geweest en dan bouw je weinig vertrouwen op voor de toekomst.
Een laatste kans om het geheel te verkopen tegen een redelijke prijs overigens zelf geloof ik niet in een scenario van een twee_traps_raket.

Bij verkoop van alleen Telematics is een spike naar 9,50 mogelijk maar zal dagen daarna weer terugvallen naar oudere niveaus.

[verwijderd] 15 december 2018 09:17

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researchvend.wordpress.com/2018/12/14...

[verwijderd] 15 december 2018 09:18

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quote:
marathon 11 schreef op 15 december 2018 08:42:
Waarde van het vermogen wordt op 31 december vastgesteld.
Heb er wel beeld bij dat een overnameprijs pas in het nieuwe jaar wordt gecommuniceerd.
Scheelt toch al snel vele duizenden euro’s voor iedereen om maar niet te spreken over de grootaandeelhouders.

Waarom zou dat iets uit maken voor de grootaandeelhouders?

[verwijderd] 15 december 2018 09:23

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@martin. Enige reden die ik kan bedenken is dat de markt niet gelooft in een verkoop van de overige BUs nadat de verkoop van TTT is afgerond en dat men extreem weinig vertrouwen heeft in het zelfstandig scenario zoals aangegeven door HG met zijn strategiewijziging om de volledige focus te leggen op Automotive en Enterprise.

Ik denk inderdaad deze reden, maar ik denk dat men ook nog steeds bang is, dat er weer een bericht komt van een Google of Here, dat ze weer wat hebben afgepakt van tt, waardoor je zo weer een 5% lager staat.
Ik blijf erbij, dat deze markt groot genoeg is voor iedereen, en dat alle partijen, maar vooral Google/Here en tt hier een deel hebben vd taart. Het is echt you win Some, you loose Some.

Wat ik hoop, is dat als ttt voor een goede prijs verkocht wordt, ze gelijk bekend maken wat hun bedoeling is, met een uitgewerkt plan, waarin duidelijk wordt, waar tt staat. Met evt deelnames enz.

Of natuurlijk bekend maken dat de rest ook verkocht gaat worden, dan is het zeker dat we iig naar de 10 of hoger kunnen. We wachten het maar weer af. Het is iig giga stil binnen tt.

[verwijderd] 15 december 2018 09:30

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Omzet van 586.000 is wel extreem laag, wat wel aangeeft dat iedereen er klaar voor is. De daling ging eigenlijk al vanaf de eerste minuut naar 8,14. Daarna iets hoger en lager geweest, maar zonder echte kopers/verkopers, alleen algoritme eigenlijk.

De vraag is wie koopt ttt en voor hoeveel. Ik denk Verizon, en voor 2 miljard dollar. Ben benieuwd!!!

[verwijderd] 15 december 2018 09:37

3

2018-2023 Global HD Map Market Report (Status And Outlook)
LP 2640275 118 Pages July 2018 ICT & Media

Report Overview
Table Of Contents
Request Sample
Request Customization
In this report, LP Information studies the present scenario (with the base year being 2017) and the growth prospects of global HD Map market for 2018-2023.

HD Map (High Definition Map) is one of the essential members of the safe driving core chain. High Definition means that the absolute coordinates are more accurate. Absolute coordinate accuracy refers to the accuracy of a target on a map and a real thing in the real world. The absolute accuracy of a HD Map is generally fine at the sub-meter level, and the relative accuracy of the landscape (eg, the relative position accuracy of the lane and lane, lane and lane) is often higher. On the other hand, HD Map contain more informative and detailed information on road traffic information. HD Map not only have high-precision coordinates, but also accurate road shape, and each lane slope, curvature, heading, elevation, roll data are also included.
USA has the largest global manufacturers in HD Map market, while the Europe is the second value market for HD Map in 2017.
HD Map technology is not mature now, the market outlook is full of uncertainty. But with the unstoppable development of ADAS and autonomous cars, and HD Map is essential to achieve autonomous cars, so we expect, HD Map future will be very bright.
Over the next five years, LPI(LP Information) projects that HD Map will register a 78.3% CAGR in terms of revenue, reach US$ 6420 million by 2023, from US$ 200 million in 2017.

This report presents a comprehensive overview, market shares and growth opportunities of HD Map market by product type, application, key companies and key regions.

To calculate the market size, LP Information considers value generated from the sales of the following segments:

Segmentation by product type:
Network
Application
Segmentation by application:
ADAS
Autonomous Vehicles
Others

We can also provide the customized separate regional or country-level reports, for the following regions:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
Here
TomTom
Google
Alibaba (AutoNavi)
Navinfo
Mapmyindia
Sandborn
...

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global HD Map market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of HD Map market by identifying its various subsegments.
Focuses on the key global HD Map players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the HD Map with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of HD Map submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

www.bigmarketresearch.com/2018-2023-g...

Over the next five years, LPI(LP Information) projects that HD Map will register a 78.3% CAGR in terms of revenue, reach US$ 6420 million by 2023, from US$ 200 million in 2017.

Dus genoeg taart voor iedereen. 6420 MILJOEN!!!!!

EN TT IS NA VERKOOP TTT NOG GEEN 700 MILJOEN WAARD, TERWIJL ZE PLATINA BEZITTEN MET HUN HD MAPS. PFFFFFFFFFF

[verwijderd] 15 december 2018 09:50

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Ook de stilte rondom hd maps is bizar eigenlijk. Je zou zeggen, Laat zien dat je de beste bent, en voor ligt op de concurrentie. Maar ook met Apollo in China, en met Microsoft Azure. Of met Zenrin in Japan. Maar niets, helemaal niets. Terwijl dit juist koers opdrijvend zou kunnen werken. Nadat HG heeft gezegd dat de koers van tt te laag staat in verhouding tot de prijs van ttt, is er niets meer naar buiten gebracht. Alleen een week erna benadrukken, dat eigenlijk niet heel tt te koop staat. Pffffff. Die bal onder water mag wat mij betreft nu omhoog komen. Succes!!!!!

boem! 15 december 2018 10:00

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quote:
Consortium TomTom schreef op 15 december 2018 09:23:
@martin. Enige reden die ik kan bedenken is dat de markt niet gelooft in een verkoop van de overige BUs nadat de verkoop van TTT is afgerond en dat men extreem weinig vertrouwen heeft in het zelfstandig scenario zoals aangegeven door HG met zijn strategiewijziging om de volledige focus te leggen op Automotive en Enterprise.

Ik denk inderdaad deze reden, maar ik denk dat men ook nog steeds bang is, dat er weer een bericht komt van een Google of Here, dat ze weer wat hebben afgepakt van tt, waardoor je zo weer een 5% lager staat.
Ik blijf erbij, dat deze markt groot genoeg is voor iedereen, en dat alle partijen, maar vooral Google/Here en tt hier een deel hebben vd taart. Het is echt you win Some, you loose Some.

Wat ik hoop, is dat als ttt voor een goede prijs verkocht wordt, ze gelijk bekend maken wat hun bedoeling is, met een uitgewerkt plan, waarin duidelijk wordt, waar tt staat. Met evt deelnames enz.

Of natuurlijk bekend maken dat de rest ook verkocht gaat worden, dan is het zeker dat we iig naar de 10 of hoger kunnen. We wachten het maar weer af. Het is iig giga stil binnen tt.

Dat de markt groot genoeg is voor meerdere aanbieders toont jouw post inzake de te verwachten marktgrootte voor HDmaps wel aan.
Gelukkig heeft men nu de omzet in 2017 op 200 mio gezet.(vorige keer was er nog sprake van 2 miljard).

Dat een negatief bericht van Google of HERE de huidige koers nog wel met 5% a 10% kan raken wil ik voor zeker aannemen.
Daar staat tegenover dat een positief bericht vanuit de CES ook zorgt voor
eenzelfde procentuele stijging.

De Outlook18 en Jaarcijfers17 kunnen tot volstrekt andere koersfluctuaties leiden.

Eva1960 15 december 2018 10:16

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Ja, HG heeft de nodige beweegruimte nodig, hij zit per definitie als een spin in een een voltooid web van belangrijke automotive en licentieklanten die power hebben om te dreigen met weglopen of een belang te nemen.

En dan ga je niet zeggen dat je te koop staat, want dat staan ze formeel ook niet.

Maar je geeft 7 signalen af, waar de kenner genoeg aan heeft en weet.

1 koers is te laag, want de aandeelhouders hebben te lang in de wachtkamer gestaan.

2 we cashen dus TTT als eerste. Dan snapt de markt beter wat voor bedrijf we zijn

3 we zijn als FFF niet emotioneel gebonden en kijken naar belangen klanten, aandeelhouders en personeel (wat goed is voor het bedrijf).

4 we houden niet per definitie vast aan een zelfstandige koers, dus tech en klanten kom maar eens langs om te praten. We hebben jullie signalen begrepen zoals van bam p v rnm en beursgang van u. Kortom het moment is daar.

5 we nemen ruim tijd daarvoor want we hebben geen sellerstress, we gaan ondertussen door met een automotive ride, but it might be a bit bumpy ride.

6 we maken onze veilingdata van TTT bekend, zodat als je nu al kopersstress krijgt omdat je geheel wil kopen je knock out bod kan doen.

7 oh ja, ik heb zelf een PE historie, dus PE je mag best bieden voor het totaal, maar dan moet je echt bieden en niet 11-12. We zijn niet achterlijk. Anders zien we jullie wel weer na verkoop TTT.

En daarom Martin, voor mij is het zeker dat we gaan verkopen met een MIN van 15, een REAL van 20 en een BEST van 60. En dat in max 1,5 jaar tijd.

Maar de markt vertrouwt dit pas als de biedingsstrijd losbarst. Daarvoor is er een te slecht TT HG trackrecord. En daarom kunnen we nu nog genieten van een te lage koers.

En moeten we ff geduld hebben.

Dus daarom lach om al dat gejank op het forum over koersfluctuaties in range 7,5 en 8,5. Hele forum gaat weer janken op 7,5 en zeiken op non communicatie van HG, niet snappend dat je stil moet zijn op dit moment.

Dan is dat het beste moment om bij te tanken.

quote:
martinmartin schreef op 15 december 2018 02:40:
Koers Tomtom ultimo jaar:
2011 : 3,05 euro
2012 : 3.81 euro
2013 : 5,13 euro
2014 : 5,53 euro
2015 : 11,61 euro
2016 : 8,55 euro
2017 : 8,26 euro

De koerssprong in 2015 werd veroorzaakt door de verkoop van HERE waardoor de geruchtenmachine van bijna zekere winsten bij verkoop van TT goed opgang kwam.
De onderliggende reden tot aanwas in de overige groei van de koers moet gevonden worden in de ingezette transitie van HW naar C&S bedrijf.

Opvallend hierbij is dat op het moment dat TT TTT in de etalage heeft gezet en dit volgens de laatste berichten 700 mio tot 1,5 miljard op gaat brengen dit niet heeft geleid tot de te verwachten spike in de koers.

Enige reden die ik kan bedenken is dat de markt niet gelooft in een verkoop van de overige BUs nadat de verkoop van TTT is afgerond en dat men extreem weinig vertrouwen heeft in het zelfstandig scenario zoals aangegeven door HG met zijn strategiewijziging om de volledige focus te leggen op Automotive en Enterprise.

Ik ben het bijna nooit eens met @VanillaSky maar in dit geval ondersteun ik zijn betoog volledig door eerst alle aandacht te richten op Outlook FY19 en Jaarcijfers die binnen 8 weken plaatsvindt.

[verwijderd] 15 december 2018 10:17

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@martin. Daar staat tegenover dat een positief bericht vanuit de CES ook zorgt voor
eenzelfde procentuele stijging.

Das maar de vraag. Ik zou ook zeggen van wel. Maar de laatste berichten was dat niet het geval iig.
Beticht Apple, Google en Volvo zorgden voor 10% dalingen.
Berichten van uitbreiding PSA, en bmw werden niet beoordeeld met een grote stijging daarentegen. Ik wil maar zeggen, dat men negatief nieuws veel zwaarder laat wegen, dan goed nieuws.

Ik denk zelf dat ze bv Renault niet geheel kwijt zijn. Kijk naar de Renault symbioz met hd maps van tt. En ook Volvo werkt denk ik met hd maps van tt. Maar goed, dat is allemaal officieel niet bekend. Net als Nissan helaas. Jammer!!!!!

[verwijderd] 15 december 2018 10:21

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Ab eva1960, prima weer gegeven. We wachten rustig af hier op 8,14.

[verwijderd] 15 december 2018 10:25

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Sensor-agnostic Localisation Data for Automated Vehicles
Published on 2018 M06 7
Willem Strijbosch
Willem StrijboschFollow
Like95
Comment4
Delen22
The Need for Maps

We are in the middle of a race. The challenge of our generation is autonomous driving. It’s a challenge that is our equivalent of the 1960’s Space Race. This time around it’s not about putting a man on the moon, it’s about taking the human out of the driving equation in a bid to increase safety and give us time back.

As carmakers race towards an autonomous driving future, the industry widely agrees on the need for highly accurate maps to make safe autonomous driving possible. TomTom is a pioneer and leader in mapping for autonomous driving, with the first patent application dating back to 2009 for RoadDNA, the first HD map launched in 2015 and the first HD map coverage across Europe, US and Asia announced in 2017. The TomTom HD Map is a highly accurate digital map designed to help an autonomous vehicle precisely localise itself on the road, understand its surroundings, and plan manoeuvres, ensuring a safe and smooth experience.

The Localisation Challenge

One of the key challenges for autonomous vehicles today lies in localisation, or knowing exactly – down to the centimetre – where it is located on the road. Without localisation, autonomous vehicles can’t plan smooth paths and safely reach their destinations.

Today’s navigation systems mainly use GPS for localisation; however, GPS alone fails to provide the needed level of accuracy and reliability. In fact, GPS is only accurate down to a few meters, and suffers from poor reception in tunnels and urban canyons, where accuracy can drop to tens of meters. In addition, GPS determines a vehicle’s position by providing a set of coordinates on the globe, while for autonomous driving it’s more important to determine a vehicle’s position relative to its surroundings, such as on an HD Map. As a result, a vehicle relying on GPS will not always be able to precisely determine its location.

To address this challenge, TomTom developed RoadDNA, a set of localisation layers in the TomTom HD Map that enables accurate and precise localisation for autonomous vehicles supporting a variety of sensor architectures. To precisely position itself, an autonomous vehicle aligns RoadDNA data with the data obtained by its sensors in real-time, resulting in a highly precise lateral and longitudinal position.

RoadDNA Suite

Automated vehicles today come equipped with a variety of sensors used for perceiving its surroundings and for localisation: cameras, radars, and LiDARs (3D laser scanners). This means that different map data is needed, depending on what sensors are used. It’s crucial for our RoadDNA suite to include multiple sets of data tailored to each type of sensor - delivered in a storage-friendly and processing-friendly format - and we’re expanding to do just that.

The TomTom RoadDNA suite includes:

Signs: a collection of traffic signs along the road, works best with camera sensors;
Roadside: a highly optimised LiDAR point cloud of roadside patterns, Roadside is the original RoadDNA - patented already in 2009 - and works best with LiDAR;
Poles: a collection of vertical poles along the side of the road, works with all sensors;
Markings: a model of individual lane markings along the roadway, works best with camera;
Radar: a layer made up of reflection points formed where radar signals hit, works best with radar (courtesy of our partnership with Bosch);
Reflectivity: localisation data that leverages the reflectivity of the road surface, works best with LiDAR.

By offering a broad suite of RoadDNA localisation data, we give our customers the freedom to use different sensors and different localisation techniques, achieving precise localisation in a storage-friendly and processing-friendly format. In addition, this approach means that customers can leverage and aggregate input from multiple vehicle sensors, increasing redundancy and leading to greater safety.

The TomTom HD Map with the RoadDNA suite enables autonomous vehicles to perform accurate and precise localisation across different sensor setups, improving automated driving functions and bringing us one step closer to an autonomous future.

Interested to learn more? Go to bit.ly/2swoOVA.

www.linkedin.com/pulse/sensor-agnosti...

[verwijderd] 15 december 2018 10:25

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Mapping the Road to Autonomous Driving
Published on 2018 M07 6
Tomaso Grossi
Tomaso GrossiFollow
Product Marketing Manager - TomTom Automotive
Like94
Comment1
Delen12
The Need for Maps

As automakers and technology companies alike race towards an autonomous future, the industry as a whole is now widely embracing the role of highly accurate maps to improve automated driving systems. In fact, most automakers are testing high-definition (HD) maps with the goal of making advanced driver assistance systems (ADAS) safer and more comfortable.

Maps for Humans vs Maps for Machines

For decades now, TomTom has excelled at making maps for our daily use. That is, maps for humans. Autonomous vehicles, however, require maps that are significantly different from the maps that are used in today’s navigation systems. Drivers today mainly use digital maps to orientate themselves, to plan a journey and to navigate to their destination. However, as the driving task gradually shifts from the driver to in-vehicle automated systems, the role and scope of digital maps shifts accordingly. A new generation of maps built for machines is needed.

The TomTom HD Map

The TomTom HD Map is a revolutionary, highly accurate digital map that makes autonomous vehicles location-aware, environment-aware and path-aware. The TomTom HD Map provides a highly accurate and realistic representation of the roadway profile including the accurate lane model, road geometry, and signs. It extends the range of sensors, and helps them make sense of the environment they perceive, enabling safer and smoother automated driving. The key functions powered by HD maps are localization, environment perception, and path planning.

Localization

A key challenge of autonomous driving is determining the exact location of the vehicle on the road. To operate safely and efficiently, it is key for an autonomous vehicle to be able to position itself on a specific lane with great accuracy. To address this challenge, TomTom has developed the RoadDNA Suite, a set of layers in the TomTom HD Map that enable accurate and robust localization for autonomous vehicles. A vehicle can correlate RoadDNA data with data obtained by its own sensors, across different types of sensors such as camera, radar and LiDAR. By doing this correlation in real time, TomTom RoadDNA allows autonomous vehicles to precisely position themselves on the road. By leveraging HD maps for accurate localization, automakers can improve ADAS functions such as Highway Pilot and Traffic Jam Assist ensuring the vehicle is in the correct lane for its path, powering a safe and smooth driving experience.

Environment Perception

Automated vehicles on the road today are equipped with many sensors, including cameras, radars, LiDARs and ultrasonic sensors. These sensors effectively represent the eyes of an automated vehicle, enabling it to perceive the environment around itself, including other vehicles, pedestrians, traffic signs, objects on the road and lane markings. However, while sensors typically do a good job at capturing the environment around the vehicle, they struggle at putting the elements of the environment into the right context. By using an HD map, the vehicle would know what lane it is travelling on, its corresponding speed limit and traffic rules, and overall better understand its surroundings. An HD map can also help the vehicle sensors focus on the relevant road elements at intersections, by communicating which elements correspond to the lane the vehicle is traveling on.

Path Planning

?As automakers develop systems with higher levels of automation, path planning becomes more and more important, as an automated vehicle needs to be able to plan its path at a very granular level, planning maneuvers across lanes in a safe, smooth way. Solely relying on sensors can lead to inefficient path planning, as the limited range of the sensors limits the vehicle’s ability to plan a long-term path. For example, as the vehicle travels on the fastest lane on the highway, it might have to quickly cut across a few lanes to take the upcoming exit, which might cause a dangerous situation. The TomTom HD Map helps improve path planning for automated vehicles by extending the range of view of the sensors, effectively helping vehicles plan a safe and smooth path towards destination.

A Leading, Trusted Map-Maker

TomTom has been building HD Maps since 2015, and today TomTom is the first to offer HD Map coverage across key countries in Europe, North America and Asia, with more than 400,000 km mapped across highways and interstates. Combining best-in-class cloud-based map making, innovative cloud-to-car map delivery and a multi-source approach to map maintenance, TomTom is building an end-to-end mapping system that will help make autonomous driving a reality sooner.

What Next?

Want to know more about how we’re shaping the future of mobility? Meet me at the TaaS Technology Conference on July 9th & 10th in Coventry. I will be speaking on this very topic on July 9th at 10:30.

www.linkedin.com/pulse/mapping-road-a...

[verwijderd] 15 december 2018 10:26

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TomTom and inLane: Building Lane-Level Technology for Autonomous Driving
Published on 2018 M07 19
Willem Strijbosch
Willem StrijboschFollow
Like114
Comment1
Delen17
Collaborative research projects are often a key catalyst for innovation and an opportunity to work with new partners. This is why TomTom is actively involved in several research projects ranging from navigation to autonomous driving, one of them being inLane.

inLane is a project funded by the European GNSS Agency (that is responsible for Europe's Galileo satellite positioning system) under the EU’s Horizon 2020 innovation programme. The goal is to develop low-cost, lane-level navigation. This was done by fusing satellite, camera and map information.

Lane-level localisation and navigation are key areas of interest for TomTom. In fact, last-minute lane changes are a key cause of accidents, and providing precise lane-level guidance information to the driver can help improve safety. In addition, accurate and robust localisation on an HD Map is a prerequisite for autonomous driving. TomTom has announced the RoadDNA Suite to power sensor-agnostic localisation.

Over the course of the inLane project, TomTom collaborated with partners such as Intel, Vicomtech, Intempora, Tele Austria and the Technical University of Eindhoven to demonstrate lane-level navigation to provide drivers with detailed information about the precise position of the vehicle on the road, as well as detailed guidance information.

The lane-level navigation application was built by fusing EGNSS (Galileo satellite information), camera-based visual odometry and TomTom's HD Map technology – a highly accurate and highly attributed representation of the road which allows automated vehicles to become location-aware, environment-aware and path-aware. The TomTom HD Map was delivered to the demo vehicle via AutoStream, our map delivery system which enables vehicles to build a horizon for the road ahead by streaming the latest map data from the TomTom cloud. The lane-level navigation application also uses TomTom’s prototype rendering to visualise the guidance information on lane level.

The inLane project has proven to be a great opportunity to test localisation on an HD Map, to visualise the HD Map in the context of lane-level navigation and to demonstrate a full lane-level navigation application. With the experience from this project, we have been able to improve our products and we continue to use the insights gained in our product development.

www.linkedin.com/pulse/tomtom-inlane-...

[verwijderd] 15 december 2018 10:27

0

Democratizing car navigation: What’s on the menu?
Published on 2018 M08 29
Alina Oancea
Alina OanceaFollow
Product Manager Automotive at TomTom
Like51
Comment0
Delen13
This article is part of a series on democratizing car navigation. Click here to read the first part.

Today, there is a navigation solution for each driver on the road. Whether in a high-end car or not, the trusted TomTom-powered navigation is available for all.

In my previous post, we looked at why we want to have mobile apps replicated in the car. As promised, I would like to run you through the different smartphone replication technologies available out there.

Quick recap

As we’ve seen, to have a comfortable navigation experience in a car without a feature-rich infotainment system, you can use your smartphone. But it’s preferred that you do so safely, in a non-distracting way. The solution: replicate apps to the headunit screen.

A lot of different technologies exist to support this and each car brand is free to choose their preferred one. What all these technologies have in common: you can use them to stream all sorts of apps, from music and navigation apps (most commonly used) to messaging, news, social media, conferencing apps etc.

It’s important to note that it’s always required for the app developer to build the technology into the app for the replication to work. This poses additional challenges, as you’ll see going forward.

The holy grail

The key for a successful ecosystem of apps is standardization (develop once, deploy everywhere) and interoperability (compatible with a wide set of devices and operating systems). In other words, scalability. This determines how many car brands adopt a certain technology, which in turn incentivizes app developers to develop compatibility for that particular technology.

This becomes a virtuous circle – the more apps available on the platform, the more car brands will adopt it and vice versa.

What’s in it for us?

The way these technologies are designed makes a crucial difference in the user experience. Here’s why:

On one side, users want their smartphones to work everywhere, all the time, in any condition. In the car, they're no less demanding – on the contrary: smartphones need to be safe, non-distracting and convenient. Of course, as app developers, we don’t want users to ever stop using their apps. So we have to team up with car makers, app streaming technology suppliers and in some cases even other app developers and smartphone manufacturers to make sure our users will get the best experience.

On the other side, the carmaker’s dream is to have its drivers utterly satisfied with the infotainment system it has invested so much into. This satisfaction reflects very positively onto the carmaker’s brand – assuming this brand is visible to the driver. But it isn't always so: if we seek the ultimate standardization, we will implicitly get UX uniformization across carmaker brands. This becomes a balancing act between making users aware of the brand which invested in that great infotainment system and ensuring scalability.

A snippet of history

To respond to this market challenge, the automotive market started developing their own technologies: infotainment platform suppliers built proprietary technology to replicate apps in the car, but in time they noticed scalability was an issue.

Realizing this, more automotive players got together with the goal of creating an industry standard – in this way some more of these technologies came to life and managed to achieve higher adoption rates.

At the same time, consumer tech brands such as Google, Apple & Baidu brought their own flavor, managing to ultimately create the most standardized and widely adopted technologies.

The automotive menu

Let’s have a look for now at the first category, the technologies created by the automotive industry, and how they have managed to create scalability:

MirrorLink

The first attempt of different car makers to build an industry standard.
Still widely adopted today, mainly across European car brands.
Due to stringent specifications and limited smartphone compatibility, it has seen a drop in adoption in recent years and has not succeeded in building a wide portfolio of popular apps.
SDL

A new attempt by car makers to build an industry standard, following the consortium model also adopted by MirrorLink.
Good interoperability of phones.
Being open sourced, it has lower barriers to entry, in order to ensure adoption from both car brands and app developers.
Scalability is still to be proven, but the outlook is promising since the building blocks are there.
Bosch mySPIN

Good interoperability of phones.
The launcher app, a requirement of mySPIN, gives it a straightforward user experience and allows showcasing of its rich app portfolio.
Car maker adoption is currently limited, but Bosch is looking to differentiate by creating a new market for app replication technologies: 2-wheelers.
Abalta WebLink

Good interoperability of phones.
Abalta found an interesting way to deal with scalability: they embraced SDL and made WebLink compatible with SDL, such that all WebLink apps now work on SDL as well. Even more, they are encouraging app developers to develop for WebLink instead of SDL (claiming it is easier), so that WebLink’s app portfolio grows.
There are other platform providers out there with the same struggle and whether they survive or migrate to other more scalable technologies is left to be seen.

We cannot forget Apple CarPlay and Android Auto, which are two well-known options. We will look at these separately, in a later post.

All in all, there are a lot of different strategies in the market to create a successful smartphone integration ecosystem. And app developers and OEMs alike have to make a hard choice on which one(s) to implement.

The TomTom perspective

Earlier this year, TomTom launched support for SDL in the TomTom Navigation app, a first building block for the future.

Why?

Because, in addition to the scalability that it allows for, SDL allows OEMs to keep their brand DNA and to integrate apps directly with vehicle sensor data. This is a powerful capability needed for building a great users experience.

If there’s something that we at TomTom believe in, it’s offering a great user experience. Imagine that your smartphone app really knows your car: how it behaves, its capabilities, how you interact with it. The app is not just a bigger, safer display anymore, it’s actually one with the car.

That’s what the future holds.

What’s next?

If you’re at IFA in Berlin between 30th August and 5th September, drop by our stand! You will be able to see our Navigation App via SDL, so you can see what Toyota users get to experience every day with TomTom.

www.linkedin.com/pulse/democratizing-...

[verwijderd] 15 december 2018 10:27

0

AI for Mapmaking: Embedding Loss Generative Adversarial Networks for Lane Detection
Published on 2018 M09 5
Michael Hofmann
Michael HofmannFollow
Manager Software Engineering (Autonomous Driving) at TomTom
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Building maps for autonomous driving is a challenge, even for experienced mapmakers. It entails making sense of vast amounts (petabytes!) of data gathered by survey vehicles and connected cars. To add to the challenge, data sources are both in the form of video data from cameras as well as point cloud data from LiDARs. To build High-Definition (HD) Maps, all this data needs to be accurately and consistently labeled. Today, labeling can be done manually – which is time-consuming and not scalable – or by using AI.

Using AI to label data

At TomTom, we leverage advanced AI algorithms to label data in a robust, scalable way, leading to higher quality HD Maps. This involves extracting detailed geometry and semantics from our rich LiDAR and camera data sources. One challenge lies in applying convolutional neural networks (CNNs) to structured prediction problems. While they have been successfully applied to perform image-based segmentation tasks, they fall short in cases when the problem is not strictly a per-pixel classification task and the predictions need to preserve certain structures or qualities.

Introducing EL-GAN

To address this problem, the TomTom AI Team proposed a novel framework named EL-GAN (Embedded loss generative adversarial networks), which improves semantic segmentation results by adding an additional “adversarial” loss term to better preserve the structural qualities. The result is a great reduction in the need for error prone post-processing of the intermediate neural network output. This is achieved by leveraging the concept of GANs (Generative adversarial networks), where two contrasting networks are trained together: a generator that is trained to create results and a discriminator that is trained to distinguish fake results from ground truth results.

In our proposed EL-GAN solution, the discriminator is trained not only on predictions but also is provided with ground truth labels, and trained to minimize the difference between the predictions and the labels in a dynamically learned embedding space. As a result, the semantic segmentation predictions are structurally much more similar to the training labels, without needing complicated post processing.

Our EL-GAN approach – which you can read more about in the Technical Report – is shown to be particularly useful for semantic segmentation problems involving lane detection, where it enables us to easily enforce qualities such as thinness, uniqueness and straightness of the line. Our work will be presented in September at the 6th Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving, in conjunction with ECCV 2018.

One step closer to autonomous driving

By leveraging advanced AI algorithms and improving them with cutting edge approaches such as EL-GAN, we’re in high gear to accelerate the production of HD Maps for autonomous driving, leading to a high quality, robust and scalable product.

www.linkedin.com/pulse/ai-mapmaking-e...

[verwijderd] 15 december 2018 10:28

0

Keeping Asia moving
Published on 2018 M09 13
Tsjerk-Friso Roelfzema
Tsjerk-Friso RoelfzemaFollow
Vice President Automotive Europe & Asia at TomTom
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It was exciting to speak on 5 September 2018 at TI Automotive in Pune, India about the emerging automotive technologies shaping the future of mobility in Asia.

In this article, I would like to share my thoughts on what this future looks like and how the Asian market can prepare for it.

Key megatrends

There are four automotive megatrends shaping our industry worldwide.

Connected cars

Connected cars already make up more than 25% of new car sales globally. This makes it the market trend with the highest adoption rate today. As it becomes the norm in the automotive industry, OEMs and governments need to prepare for this new reality.

TomTom can help by giving you access to the most relevant and real-time information needed on the road.

From keeping your map fresh to receiving software updates over-the-air, our Traffic, Speed Cameras, Parking, EV and other Travel services can help you stay connected.

Autonomous driving

Autonomous driving is one of the major paradigm shifts of our generation. It will not only completely transform the way people travel but also improve the safety, comfort and efficiency of vehicles to a level never seen before.

With all major OEMs announcing plans for highly automated systems to be on the road by 2025, TomTom provides you with the mapping technologies required to make autonomous driving a reality.

With more than a decade of experience in digital mapping and location-based services, we integrate HD Maps and safety services to ensure a seamless driving experience for the vehicles of the future.

Shared mobility

As more and more people share cars or use on-demand ride services, there is an increased opportunity for the mobility providers who are taking a leading role in this shift.

If you are one of these mobility players, TomTom’s location layer is a solid basis for future business growth. We can also help you explore the opportunities that mobile apps and brought-in navigation bring to this growing market.

Electric vehicles

While not mass-market yet, electric vehicles (EVs) are on the rise. The industry aspires to have over 50% of all new models in 2021 equipped with an electric powertrain.

However, one important challenge that can stagger growth in this area is range anxiety. We define it as the worry of an EV driver that the battery will run out of power before the destination or reaching a suitable charging point.

Our solution to bringing drivers peace-of-mind is the TomTom EV Service. It provides real-time availability information of nearby charge points.

How do these trends affect you?

We are heading to a future where autonomous driving will enter the automotive world. Electric vehicles will become the norm and connectivity will be in every car. Ownership will be replaced by shared mobility platforms.

The question is not whether these changes will happen, but how prepared different players will be when they do. And TomTom is here to help you readily step into this future.

We have developed a host of solutions tailored to the needs of the market. Not to follow, but to lead. We believe – and so do our partners – we have leading products that meet the demands of drivers in the future.

A solid partner for Asia

Today and in the future, we see most of the growth in the automotive industry to come from Asia.

TomTom is committed to sustaining this growth by having a solid presence in India and Asia at large. TomTom’s focus on the Asian market has multiple benefits for you, both commercially and technologically.

Having already expanded our presence in Pune several times in recent years, we are also growing in automotive hubs like Shanghai, Taiwan, Tokyo or Seoul. We are here and are committed to help you shape the future of mobility in Asia.

We are winning and working on new deals in several Asian countries, but also working with local OEMs to bring their vehicles with our navigation technology to Europe.

Our product portfolio is also expanding. In 2017 we launched TomTom HD Maps and our flagship Traffic service in Japan. In the summer of 2017 we launched HD Maps in China together with our partner Baidu. And in early 2018, we launched Traffic in Vietnam and the Philippines.

In India, TomTom Traffic has already been available since 2016, using the same real-time fusion technology that makes us market leader worldwide .

To tailor the service to the needs of the Indian market, we are expanding our map coverage across India at an accelerated rate, which means that only in the last few years road coverage in the sub-continent has expanded significantly.

At TomTom, we keep the world moving.

Together, we can keep Asia moving.

What is next?

TomTom is a trusted partner for future-proof navigation technology for the global automotive industry.

If you would like to know how we can help you prepare for the radical shift that the Asian automotive market will start seeing in the coming years, please get in touch.

My colleagues and I would be happy to discuss how we can help you get ready for the future of mobility with solutions tailored to your needs.

www.linkedin.com/pulse/keeping-asia-m...

[verwijderd] 15 december 2018 10:29

1

The future of driving starts in Eindhoven
Published on 2018 M11 12
Paul Hesen
Paul HesenFollow
Like136
Comment2
Delen46
Earlier this year, TomTom Eindhoven moved to a new office in the High Tech Campus. After an official opening by John Jorritsma, the Mayor of Eindhoven, and Harold Goddijn, the CEO of TomTom, the building is now occupied by 250 enthusiastic engineers working daily on the future of driving.

Change is a constant in everyone’s lives, and we are no exception to the rule. This move offers a better working environment for our colleagues, but it also marks the change we are making in our technologies to support the next major shift for the automotive industry: moving online.

What happens in Eindhoven doesn’t stay in Eindhoven

Eindhoven is TomTom’s main site for the development of software products for the automotive industry. The solutions we work on every day in a Dutch city have a global impact. For example, the recent launch of our traffic and online routing service on almost two million BMW vehicles.

It is in this office that we work on autonomous driving. With the aim of shaping the future of mobility, we are working on the latest software and technology that one day will enable vehicles drive autonomously on the road. AutoStream is a map delivery system which enables (autonomous) vehicles to build a horizon for the road ahead. It does so by automatically streaming the latest map data from the TomTom cloud, thus completely removing the need to have maps installed on board.

A bridge between worlds

This technology is not only cutting edge but timely. What we are working on today is what will enable the next major paradigm shift in the automotive industry.

After decades of running software and maps on embedded navigation systems in cars, we are now making a gradual change towards online. This move is driven by what has been proven to be possible on smartphones, new use cases that demonstrate the need for live maps and the delivery of lower connectivity costs at higher speeds.

What we can expect in the coming years is a move towards hybrid systems that provide a bridge between the online and offline worlds.

Navigating a changing landscape

The entire automotive industry needs to adapt to this new reality, but it is easier said than done. Processes developed for embedded systems don’t work as well for online systems. And since they have worked so well for so long, people have a hard time saying goodbye to them.

Drawing upon our embedded legacy, understanding of the automotive mindset and our expertise as a location technology specialist, we are well positioned to guide OEMs in making the step to online.

Understanding the pros and cons

Making such an important step requires an understanding of both existing and new technologies, their benefits and drawbacks.

Let’s take a closer look at the main differences between online and offline.

The best solution at the moment is to combine the reliability of embedded with the accuracy of online, maximising the benefits and neutralising risks.

Interested?

Do you want to learn more about our work in navigation, digital mapping and traffic information?

Or would you like to join the team of engineers that are making this happen?

Check out our job openings or get in touch.

www.linkedin.com/pulse/future-driving...

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