SafetyNex

How Artificial Intelligence of Autonomous Driving will be auditable in case of accident   2018 CNEJITA symposium : keyword = complexity NEXYAD explained how the AI based real time driving risk assessment SafetyNex can monitor autonomous driving artificial intelligence. Does AI follow rules of cautiousness ? Read more : https://www.cnejita.org/2018/01/colloque-2018-intelligence-artificielle-qui-sera-responsable/

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]

AI should help increasing road safety for robot taxi allowing to put them in function soon Robot taxis are under testing in many cities such as Phoenix Arizona. Globally it works but the issue is still the rate of accident. Human driver has an accident in average about every 70 000 km and there are about 3 deads every billion km. This very high performance of human driver makes it difficult to automate driving, especially in urban traffic where road infrastructure characteristics are very complex. This explain why tests long more... [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

Presentation video of the real time driving risk assessment module SafetyNex SafetyNex estimates driving risk 20 times per second, and alerts driver when risk increases too much, letting time toslow down and avoid accident. NEXYAD has been developing this module that is already under deployment for car insurance and professional fleets (decrease the accident rate because driver is alerted and can avoid some accidents).SafetyNex is also under integration into ADAS (Advanced Driver Assistance Systems) and Autopilots because for those... [Lire la suite]

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]

SafetyNex driving risk estimation during driving : anticipation of danger SafetyNex estimates driving risk 20 times per second, during driving (real time). On the following figure, you can see risk rising when approaching a stop sign with an inappropriate car speed : Now with a slower speed profile : And finally the "good" safe speed profile : This estimation is computed INSIDE the local device (inside the car). Current implementation is on smartphones (IOS and Android), then computing of risk is completely done INSIDE the... [Lire la suite]