28 mai 2018

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP Now Deep Learning is used in onboard detection and pattern recognition applications. NEXYAD for instance uses Deep Learning in RoadNex (road detection without need of markings + detection of free space), and ObstaNex (obstacles detection). But if you do not analyse your INDUSTRIAL project in detail, you may have bad surprises : everone thinks he/she knows that the more numerous the training examples, the most accurate the KPIs. Let's say you used 1 billion km to train and... [Lire la suite]

26 mai 2018

5 Ways Artificial Intelligence is Impacting the Automotive Industry

5 Ways Artificial Intelligence is Impacting the Automotive Industry Finding applications of artificial intelligence in the automotive industry requires only a scant reading of news headlines. From IBM Watson’s partnership with the General Motors OnStar platform to Toyota’s $1 billion investment in AI-based self-driving technology, the marriage of AI with automotive technology has surely been consummated. It seems that every stakeholder in the automotive industry is looking for a way to capitalize on recent advances in AI technology. ... [Lire la suite]
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07 mai 2018

Five trends transforming the Automotive Industry

Five trends transforming the Automotive Industry The mobility of the future is “eascy” – electrified, autonomous, shared, connected and “yearly” updated. In this study, we describe the factors influencing the sector leading up to 2030 in the key US, Europe, and China markets. It also describes how the automotive industry should restructure itself in terms of volume, scale, and complexity. Through mathematical modeling of key performance indicators and demographic trends, the paper discusses: Mobility behaviour of users... [Lire la suite]
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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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