automotive

Smart, Social and Autonomous The automotive industry is undergoing rapid transformation because of changing demographics, lifestyles and new ownership models. An avalanche of intelligent technologies such as ADAS, in-vehicle electronics, autonomous driving features and rapid innovation in the ecosystem are redefining the pre-purchase, driving and transition experience.    There are a number of key trends that will influence the connected vehicle market in the next 3 to 5 years including the following... [Lire la suite]

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]

China says half of its new cars will be AI-powered by 2020 SHANGHAI (Reuters) – China aims to implement artificial intelligence technology in at least half of all its new cars by 2020 and cover 90% of its big cities and highways with a wireless network that can support smart vehicles, its top state planner said on Friday. These goals are part of a draft for a national smart car strategy that the National Development and Reform Commission (NDRC) wants to seek public feedback for, it said in a statement. China is aiming to become... [Lire la suite]

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]

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]

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]

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.  

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]

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]

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]