Nexyad

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.  

NEW ARCHITECTURE FOR AUTONOMOUS DRIVING INVOLVING DRIVING RISK ASSESSMENT Architectures of Autonomous Driving systems use to be feed forward open loop chains that are supposed to give a good solution to any problem. Inputs come from sensors that are fusionned in order to bring a good situation understanding. Then a decision making system sends what to do to actuators. This works fine, but of course, whatever the number of validation scenarios, there will always exist cases where the glabal system is not adapted to the situation. ... [Lire la suite]

A French startup has all the Artificial Intelligence technologies needed to avoid many automous car accidents such as the recent UBER accident We all saw videos of the UBER VOLVO accident. The dashcam video shows that visibility conditions were very poor and that the pedestrian is dressed in black (pullover) and crosses a road at night without any light and out of pedestrian crossing areas. This attitude is pure suicade and you wouldn't teach your children to behave this way. But even if this pedestrian shouldn't have been in the... [Lire la suite]

Soon, NEXYAD will transform your ordinary car into an intelligent car using ... your smartphone NEXYAD developed 4 algorithm for intelligent connected car : . SafetyNex, system that alerts you while driving if and only if driving risk is too high. RoadNex, system that detects free space (drivable part of the road ahead). ObstaNex, system that detects obstacles. VisiNex, system that detects lacks of visibility (fog, snow, ...) All those modules are available to OEMs as API to be integrated inside valuable products (driving... [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]

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]

Connected car / Telematics : use case of a car insurer that deploys SafetyNex Car insurers are interested in : . prevention : reducing accident rate is a real need, all accident, and particulary those that lead to personal injuries . data : SafetyNex records risk profiles and usafe profiles Here is a short video that shows how a car insurer can use and take benefits of SafetyNex deployment : SafetyNex episode 3 : The Car Insurer's Choice

Notion of driving risk in road safety This short video explains what is driving risk according road safety experts. It is this notion that is used i the real time driving risk assessment module SafetyNex, developed by NEXYAD. NEXYAD is member of MOV'EO and member of the MOV'EO Groupement ADAS.

SafetyNex (real time driving risk assessment smartphone App) can alert driver before danger and then reduce accident rate by 20% The company NEXYAD recently launched their smartphone App SafetyNex. SafetyNex analyses driving behaviour in real time and estimates the degree of adequation of this driving behaviour to road context. In the low cost implementation, context is only the road infrastructure configuration : distances, curves, intersections, functionalities of infrastructure (pedestrian crossing, school, ...) and traffic signs... [Lire la suite]

NEXYAD ADAS VALIDATION DATABASE     Free space ground reality (for RoadNex) and obstacles ground reality (for ObstaNex) NEXYAD has been developing a methodology called "AGENDA" (published in the 90's by Gerard YAHIAOUI in the field of machine learning and artificial neural networks applications). Here is an example of ground reality : ground reality is needed in order to automate performance / KPIs measurement when you modify the perception system. Read more : http://www.nexyad.net/Automotive-Transportation