Groupement ADAS : Advanced Driver Assistance Systems

14 décembre 2018

Autonomous Driving Challenge

Autonomous Driving Challenge

THE ADC :

The Autonomous Driving Challenge is a competition aimed at students with technical background in robotics that are going to develop future car technology. The participants develop fully automatic driving functions and the necessary software architectures. The important thing is that this development is applicable and scalable to real-life autonomous driving algorithms and provides students with the ability to have a part in creating this mobility concept for the future.

The project will officially kick-off in May, when the students will receive their model cars and get immerse in a two-day Techpills from robotic experts to ensure that all participants have an equal starting point. Then, students receive 1:10 scale model cars built at FU Berlin and feature an integrated CPU unit, a set of sensors and equipped with integrated LINUX Robotic OS Library systems.

The student teams will have 6 months to develop their software solution that will eventually allow the cars to autonomously navigate a road course. During this time, they will receive mentoring and perform intermediate tasks to ensure their development along the way. All this in an innovative and interactive environment connected with other teams through the Driving Challenge website and Slack Forum.

read more : http://www.autonomousdrivingchallenge.com/

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13 décembre 2018

Truck Telematics Market 2018 Global Analysis, Opportunities and Forecast To 2023

Truck Telematics Market 2018 Global Analysis, Opportunities and Forecast To 2023

Telematics is a combination of the words telecommunications and informatics. Telematics, in a broad sense, is any integrated use of telecommunications with information and communications technology. It is the technology of sending, receiving and storing information relating to remote objects - like vehicles - via telecommunication devices.

The global Truck Telematics market will reach xxx Million USD in 2017 and CAGR xx% 2011-2017. The report begins from overview of Industry Chain structure, and describes industry environment, then analyses market size and forecast of Truck Telematics by product, region and application, in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report.

Company Coverage (Sales Revenue, Price, Gross Margin, Main Products etc.):

Fleetmatics Group PLC 
Trimble 
TomTom 
MiX Telematics 
Actsoft's 
Ctrack 
Daimler FleetBoard GmbH 
KORE 
Masternaut 
AirIQ

Rad more : https://www.marketwatch.com/press-release/truck-telematics-market-2018-global-analysis-opportunities-and-forecast-to-2023-2018-06-19

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12 décembre 2018

Waymo, Cruise, Mobileye, and Tesla are all tackling self-driving cars in different ways — here's the breakdown

Waymo, Cruise, Mobileye, and Tesla are all tackling self-driving cars in different ways — here's the breakdown

  • WaymoCruise, Intel/ Mobileye, and Tesla are the major contestants in the self-driving car race.
  • Each has developed a different business model.
  • Waymo and GM are using laser-radar technology, while Mobileye and Tesla are relying on cameras and sensors.

We're quite close to witnessing the arrival of widespread self-driving technologies that consumers can actually experience.

Alphabet's Waymo and General Motors' Cruise are planning to launch ride-hailing services in major cities in 2019. Waymo is already testing the service in Phoenix, and Cruise has been experimenting in San Francisco.

Meanwhile, Intel bought Mobileye last year, and the tech giant is aiming to provide self-driving technology to automakers, building on its existing expertise.

Tesla is of course also in the picture, with its Autopilot technology.

Not all self-driving systems and business plans are the same, however. In fact, Waymo, Cruise, Intel/Mobileye, and Tesla are each taking different approaches to autonomy.

Here's how they break down:

Waymo has the most miles driven under its belt, but it has to partner with automakers to have vehicles.

Waymo has the most miles driven under its belt, but it has to partner with automakers to have vehicles.Waymo

After testing, testing, prototyping, testing, and then testing some more, what was formerly known as the Google Car project had a lot of observers wondering if Waymo would ever be able to commercialize the millions of miles it had racked up over nearly a decade.

Read more : https://www.businessinsider.fr/us/waymo-cruise-mobileye-and-tesla-approaches-to-self-driving-cars-2018-10

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11 décembre 2018

NEXYAD presenting a disruptive approach of real time driving risk assessment for car insurance, fleets, ADAS, autonomous driving

NEXYAD presenting a disruptive approach of real time driving risk assessment for car insurance, fleets, ADAS, autonomous driving

The CEO of NEXYAD was a speaker in the car electronics congress CESA Automotive (5th and 5th of December 2018, in Versailles, France).

The presentation was about the major difference between ADAS and Autonomous Driving mindsets, even if the skills (sensors, fusion, ...) are quite the same.

In particular, was presented the graph tree of driving situations :

graph tree of driving situations

 

Then it was explained that "anticipation" could be translatd into "not taking too much risk", and that there are 2 ways to cope with driving risk :

. Driving risk as an implicit variable that is "minimized" in a deef forward computing system based on scenarios analysis : for every case, engineers defin "the best response", that implicitely minimizes risk.

. Driving risk as an explicit computed variable : then it is possible to apply iterative minimization of risk methods, without using the approach of scenarios.

This changes everything for :

. ADAS and Autonomous Driving robustness

. ADAS and Autonomous Driving validation

. Value chain revenur sharing : indeed, in the value chain, car insurers and fleet managers can gain profits if risk is an explicitly computed variable. THen the automotive complete value chain may use driving risk as a communication tool too, in order to share revenue coming from safety improvement.

Know more with CESA proceedings soon available : http://www.sia.fr/evenements/43-cesa-4-0-automotive-electronics?lng=en

10 décembre 2018

RIDING IN WAYMO ONE, THE GOOGLE SPINOFF’S FIRST SELF-DRIVING TAXI SERVICE

RIDING IN WAYMO ONE, THE GOOGLE SPINOFF’S FIRST SELF-DRIVING TAXI SERVICE

It is late afternoon in Chandler, a suburb of Phoenix, Arizona, and I’m getting jittery waiting for my self-driving car to make a left turn before arriving at the coffee shop. Seconds tick by, and the vehicle — an autonomous Chrysler Pacifica minivan owned by Waymo — is letting too many opportunities pass by without turning. But before I can get truly annoyed, the Waymo vehicle makes the left, and my mid-afternoon caffeine fix is soon satiated.

Waymo, the self-driving subsidiary of Alphabet, launched its first commercial autonomous ride-hailing service here in the Phoenix suburbs on Wednesday — a momentous moment for the former Google self-driving project that has been working on the technology for almost a decade. I was one of the lucky few to test out the company’s robot taxi experience a week before the launch. And I say “lucky” because to ride in one of Waymo’s autonomous minivans, not only do you have to live in one of four suburbs around Phoenix, but you also have to be in a very exclusive, 400-person club called the Early Riders.

TO START OUT, ONLY EARLY RIDERS WILL GET TO USE WAYMO ONE

It’s not a motorcycle club for morning people, but rather Waymo’s year-and-a-half-old focus group for its self-driving cars. To start out, Waymo’s new self-driving taxi service — dubbed “Waymo One” — will only be available to “several hundred” members of the Early Rider program, said Dan Chu, head of product at Waymo. That’s exclusivity within exclusivity.

Since April 2017, the Early Riders have been testing the company’s autonomous vehicles for trips to work, school, and various errands. Some of these people will now migrate to Waymo One, while others will stay in the Early Rider program. Those who move to Waymo One will continue to use the company’s self-driving Chrysler Pacifica minivans in much the same way they did while in the Early Rider program — except now they will be charged for the rides.

Read more : https://www.theverge.com/2018/12/5/18126103/waymo-one-self-driving-taxi-service-ride-safety-alphabet-cost-app

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09 décembre 2018

Advanced Driver Assistance System (ADAS) Sensor Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast

Advanced Driver Assistance System (ADAS) Sensor Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2018 - 2026

Advanced Driver Assistance System (ADAS) Sensor are the backbone of the ADAS architecture. Advanced driver assistance systems are the systems that are employed in vehicles to monitor, warn, and control the vehicles with partial and compete override of the driver. It assist the driver while driving and other activities such as parking where the driver is not entirely able to concentrate on driving and needs assistance in controlling the vehicle. ADAS sensors plays a very important hole in decision making of ADAS to control the vehicles and needs to be of great precision and accuracy, thus many of the sensor manufacturers are focused on developing high precision and high accuracy sensors.

Market Dynamics: Global Advanced Driver Assistance System (ADAS) Sensor Market

The Advanced Driver Assistance System (ADAS) Sensor market is expected to be driven by the increasing awareness among the drivers in safety applications and regulations by the governments of developed countries in Europe and North America. Advanced driver assistance systems are currently in the state of development, particularly in low end consume vehicles as well as commercial vehicles. Though the penetration of ADAS is comparatively high in luxury vehicles, many of the vehicle manufacturers are focusing on developing and upgrading the existing systems by coping up with the associated problems to expand market reach, which is anticipated to be the major factor towards the escalated growth of ADAS sensor market during the forecast period. Furthermore, along with the increasing research and development spending on ADAS sensors and accelerated growth of automotive manufacturing in developing economies is fueling intense competition in the global market, and is anticipated to further intensify during the forecast period.

Market Segmentation: Global Advanced Driver Assistance System (ADAS) Sensor Market

The global advanced driver assistance system (ADAS) sensor market has been segmented based on type, application, vehicle type, and region. Based on type, the Advanced driver assistance system (ADAS) sensor market can be classified into temperature sensor, radar sensor, LiDAR sensor, infrared sensor, laser sensor, ultrasonic sensor, pressure sensor, and others. Based on application, the market can be segmented into adaptive cruise control (ACC), adaptive head lamp (AHL), automatic/intelligent emergency braking (AEB), blind spot detection system (BSD), cross traffic alert (CTA), drowsiness monitor system (DMS), lane departure warning system (LDS), night vision, park assist (PA), surround view camera system (SVC), time pressure monitoring system and others. Based on vehicle type, the advanced driver assistance system (ADAS) sensor market can be segmented into, passenger cars, and commercial vehicles. The commercial vehicle segment of the advanced driver assistance system (ADAS) sensor market is further classified into light commercial vehicles, and heavy commercial vehicles. In terms of geography, the global advanced driver assistance system (ADAS) sensor market can be segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South America.

 

Read more : https://www.transparencymarketresearch.com/advanced-driver-assistance-system-sensor-market.html

08 décembre 2018

Trends Moving the Truck Market

Trends Moving the Truck Market

The announcement of the new Hino XL, Hino's first entry into the North American Class 8 market, was the Work Truck Show's largest press conference to date. (Photo by Chris Brown)

A testament to a robust economy, the steady incline of Class 4 to 6 truck sales, and a continuing onslaught of new products and services, NTEA’s Work Truck Show has become an annual pilgrimage for equipment makers, technology providers, chassis manufacturers, upfitters, OEMs, and fleets. With roots in equipment spec’ing, the show has evolved to include major truck launches — this year’s announcements of General Motors’ reentry into medium duty and Hino’s first North American foray into Class 8couldn’t get any bigger.

Thus the Work Truck Show is a worthy weather vane of the truck market. Certainly, there are many more trend lines than one editor could gather or would fit reasonably in these confines.  

The winds have been blowing away from compressed natural gas (CNG) for a few years now, as witnessed by the lack of CNG-specific exhibitors in the Productivity and Fuels Pavilion. Some players, such as Venchurs Vehicle Systems, still serve the existing market but are using their facilities for custom fleet upfitting and conversions.

Meanwhile, with a low cost of entry and low cost of fuel, propane autogas is the little alt-fuel engine that could. Though the overall market size of propane-powered units is still south of 200,000, market leader Roush CleanTech saw a 60% increase in orders in 2017. Roush is now concentrating on Class 4 to 6, says Todd Mouw, the company’s recently appointed president. Why? “Folks have little reason to move from gas, but they’re motivated to move away from diesel,” Mouw said. 

Read more : https://www.businessfleet.com/279810/trends-moving-the-truck-market

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07 décembre 2018

Car Connectivity Consortium

Car Connectivity Consortium

The Car Connectivity Consortium® (CCC) is an organization driving global technologies for smartphone-centric car connectivity solutions. The organization has developed MirrorLink®, an open standard for car-smartphone connectivity, in collaboration with cross-industry stakeholders including Car OEM, Tier-I suppliers, Phone Manufacturers, and App Developers, etc. CCC has also expanded its portfolio of technologies to include two very exciting projects: “Digital Key,” where smartphones are used to gain access to the car, and “Car Data,” which builds ecosystems for services such as usage-based insurance, diagnostic, driver health/behavior monitoring, ride hailing and sharing etc. CCC members include a majority of the world’s auto and smartphone manufacturers, along with a who’s who of aftermarket consumer electronics vendors.

The Car Data project is intended to connect consumers to service providers to offer them tailored vehicular services enhanced by vehicle data. The target use cases include usage-based insurance, real-time road condition monitoring, integrated vehicle maintenance, car ride share or hailing services, and more. The Car Data solution will be car, smart device, and service agnostic. The solution will facilitate the exchange of vehicle data and will give control over the data to involved stakeholders. CCC is intended to define an authentication and authorization service platform that will enable data provider to offer car data through any market place, while preventing uncontrolled dissemination and use, without explicit consent. The Car Data project is currently in the requirements and use case phase.

 Read more : https://carconnectivity.org/

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06 décembre 2018

Disrupting the Car Insurance Industry

Disrupting the Car Insurance Industry

The London-based start-up Cuvva competes with incumbents by making it easy for drivers to buy pay-as-you-go insurance.

Disruptive ventures arise from mobile device ubiquity, data-powered AI and digital platforms that connect buyers and suppliers in new ways. They are reshaping industries such as transportation (e.g. Uber, Lyft, Didi Chuxing), hospitality (e.g. Airbnb, FlipKey), payment services (e.g. PayPal, TransferWise) and many more.

Conservative by nature, the insurance industry has been slow to embrace new digital business models and take on disrupters. But it won’t be able to dodge the challenge much longer. Consider ZhongAn, the Chinese online insurer created in 2013 by e-commerce giant Alibaba, social network Tencent and insurer PingAn. ZhongAn has already sold more than 7 billion policies – mostly shipping return and flight delay insurance – to half a billion customers, creating massive waves in the industry with fast, innovative and customised products sold only online.

Hourly car insurance cover

Freddy Macnamara, the founder and CEO of London-based, mobile-only insurance broker Cuvva, is addressing several market frictions in the car insurance industry. Most people dread buying car insurance – an expensive product that’s only needed in case something bad happens. After all, it is a product that few people like and even fewer people understand.

Launched in October 2015, Cuvva came about because Macnamara wanted to get insurance on an hourly basis so he could drive other people’s cars. He saw that car insurance is one of those things that people instinctively associate with pain. He decided to use technology to make it as hassle-free as possible.

Read more : https://knowledge.insead.edu/blog/insead-blog/disrupting-the-car-insurance-industry-8126

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05 décembre 2018

Why artificial intelligence is disrupting both the automotive sector and its suppliers

Why artificial intelligence is disrupting both the automotive sector and its suppliers

 

Artificial intelligence will soon enable vehicles to control more driving scenarios, monitor driver attention and alert drivers to danger with reliability. These are some pretty major updates for an industry that hasn’t changed much in the last few decades.

“A front-facing camera can discern where the driver is looking or, more importantly, where the driver is not looking,” said Tim Wong, one of the session’s speakers and a technical marketing manager for autonomous vehicles at Nvidia.

Even when the human is driving the vehicle, autonomous vehicle sensors and systems will still serve as a warning system, preventing them entering an intersection if they detect a car about to run a red light. The system will also learn to predict driver preferences, adjusting the seat and mirrors for different drivers, or the radio and windows for different temperatures or times of day.

Read more : https://iot.eetimes.com/why-artificial-intelligence-is-disrupting-both-the-automotive-sector-and-its-suppliers/

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