10 avril 2018

Disruption brought by Artificial Intelligence in the Automotive field

Disruption brought by Artificial Intelligence in the Automotive field A new Artificial Intelligence algorithm (SafetyNex) brings disruption in many applications of the automotive domain : Applications of dynamic real time driving risk assessment (by SafetyNex) : . vocal driving assistants . ADAS . Autonomous Driving This Artificial Intelligence algorithm is developed and proposed by NEXYAD.  

20 mars 2018

3D LiDAR Delivers Automotive Solutions

3D LiDAR Delivers Automotive Solutions One of the hot technologies at this year’s Consumer Electronics Show is 3D LiDAR, which will be critical to the success of autonomous and semi-autonomous vehicles. Automotive technology continues to be a hot topic at this year’s Consumer Electronics Show in Las Vegas. 3D LiDAR is prominent, as it is a key sensor component for advanced driver assistance system (ADAS) and self-driving cars. Two things are driving improvements in 3D LiDAR. The first is improved emitters, since LiDAR... [Lire la suite]
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05 mars 2018

Automotive revolution – perspective towards 2030

Automotive revolution – perspective towards 2030 How the convergence of disruptive technology-driven trends could transform the auto industry Today’s economies are dramatically changing, triggered by development in emerging markets, the accelerated rise of new technologies, sustainability policies, and changing consumer preferences around ownership. Digitization and new business models have revolutionized other industries, and automotive will be no exception. For the automotive sector, these forces are giving rise to four disruptive... [Lire la suite]
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23 février 2018

Low CPU consumption road detection and free space detection running in real time on a regular smartphone : RoadNex

Low CPU consumption road detection and free space detection running in real time on a regular smartphone : RoadNex The company NEXYAD showed to its partners and customers at CES 2018 in Las Vegas the RoadNex road detection system running on a regular smartphone (using CPU and camera of the smartphone). RoadNex detectes two things, independently : . borders of the lane : borders may be road markings, other cars, construction area signs, pedestrians, bicycle, ... . free space : part of the world ahead that is flat and drivable... [Lire la suite]
15 février 2018

HOW ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) WILL IMPACT FLEETS

HOW ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) WILL IMPACT FLEETS ADAS are already having a huge impact on the fleet industry, not just from a driver safety aspect, but from a vehicle maintenance standpoint too. Core functionalities include adaptive cruise control, autonomous emergency braking (AEB), crash collision mitigation and blind spot monitoring. There are plenty more that could be included, and each has been designed to improve driver safety. For example, AEB has been cited as reducing real-world crashes by 38%. The... [Lire la suite]
28 janvier 2018

NEXYAD report of CES 2018 in Las Vegas : trends in intelligent cars

NEXYAD report of CES 2018 in Las Vegas : trends in intelligent cars NEXYAD was on the LeddarTech booth this year on Central Plaza at CES 2018 in Las Vegas, on the "LeddarTech Ecosystem" area. NEXYAD and LeddarTech are both members of MOV'EO Groupement ADAS. NIT, SHERPA Eng, and INTEMPORA were also there. NEXYAD proposes a short report of what was heavily represented at the CES this year. Keywords of this issue are shuttles, smartcities, and lidar. You can read the short report here... [Lire la suite]

09 janvier 2018

Mobileye wins 2018 contract for next gen ADAS camera system-on-chip

Mobileye wins 2018 contract for next gen ADAS camera system-on-chip Mobileye, a designer and developer of camera-based Advanced Driver Assistance Systems (ADAS) to the automotive industry, has introduced its 4th generation system-on-chip, the EyeQ4. Leveraging expertise in designing computer-vision specific cores for over 15 years, the EyeQ4 consists of 14 computing cores out of which 10 are specialized vector accelerators with extremely high utilization for visual processing and understanding. The first design win for EyeQ4 in... [Lire la suite]
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16 décembre 2017

Driver assistance: Coming revolution

Driver assistance: Coming revolution   The three major trends of electrification, connectivity and autonomy all have software in common, according to Thomas Gage and Jonathan Morris from Marconi Pacific   We are on the threshold of a radical change in vehicle technology. No, it’s not automation, although that will come very soon. Instead, change is being driven by the underlying technology for automation that is already here and advancing rapidly; that is, crash avoidance technology delivered by advanced driver... [Lire la suite]
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06 décembre 2017

RANKED: The 18 companies most likely to get self-driving cars on the road first

RANKED: The 18 companies most likely to get self-driving cars on the road first Lyft announced Wednesday that it will team up with Ford on self-driving cars, the latest addition to a growing list of partners. The news shows how rapidly the self-driving-car space is shaping up. With so many players in the space, companies are exploring new tactics to get their product to market first. We decided to take a step back and see where each company stands in the race to make robot cars a reality. Navigant Research assessed all... [Lire la suite]
03 décembre 2017

The foundational system challenges of the connected car

The foundational system challenges of the connected car What, precisely, is a ‘connected car’? Essentially, it can be defined as anything related to infotainment, telematics, ADAS, autonomous driving, cyber security, OTA, eHorizon, car2X, Cloud, and back-end. At the component level, the technology and software for the connected car and, specifically, for ADAS and autonomous driving, is becoming increasingly sophisticated and robust. But engineers working on algorithms and sensor fusion software still have plenty of work to do before... [Lire la suite]
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