2019 HAS BEEN A VALUABLE CES FOR NEXYAD : TRENDS ARE INTERESTING FOR OUR SAFETYNEX MODULE
Thanks to Molly Swart and Georges Ucko from Business France, and Marc Charlet from Mov’eo, for their animation on French Tech Pavillon.
Nexyad was present with Groupement ADAS.
Nexyad is back to Paris pockets full of new contacts interested in our SafetyNex API (the only onboard API that compute, in real time, at each moment, the risk that driver is currently taking).
First CES where some big firms were exposing on their booth some products based, among other things, on SafetyNex.
And good new contacts for applications of SafetyNex in the following fields :
. car/trucks insurance
. car/trucks telematics
. aftermarket dashcams
. vocal Driving assistants
. autonomous Driving systems
We had a fine booth in the French Tech marquee at Central Plaza, with all the other startups of the MOVEO ADAS Group.
The 5th and 6th december, International Conference SIA CESA 5.0 took place in Versailles (just near the Château).
The goal of the organisers is to build a bridge between traditional automotive electronics and the new developments in vehicle electrification and digitalization as well as those from the world of consumer electronics and the Internet of Things.
The event has presented a great opportunity to understand how the automotive business will evolve over the next five years, with a focus on products and services that are likely to transition from other markets into use-cases for automotive.
Gérard Yahiaoui, Nexyad CEO presented a new paper: Real Time Driving Risk Assessment for Onboard Accident Prevention :
Application to Vocal Driving Risk Assistant, ADAS, and Autonomous Driving.
CAR DETECTION WITH OBSTANEX ON A REGULAR COMPUTER ARCHITECTURE : LOW DEPLOYMENT COST, LOW ENERGY CONSUMPTION, LESS HEAT, etc.
Here is a snapshot of car detection using RoadNex.
The big differenciation of ObstaNex is that is runs on a regular computer architecture (on a smartphone for instance) : no need for a heavy computing system. It is then much cheaper for mass volume deployment (new cars and aftermarket), because heavy computing architectures bring computing speed, but also high deployment cost, Energy consumption, heat, etc … not that good for onboard systems.
ANTICIPATION VS NINJA REFLEXES FOR ADAS AND AUTONOMOUS DRIVING : IMPACT ON ACCIDENT
Automotive industry is currently integrating into vehicles high level automations systems : automatic emergency braking, line keeping, etc … Those systems are complex : complex to do, complex to integrate together (as A system of systems), complex to validate.
Impact on accident of those complex features is unfortunately not that big. Indeed, accident is rare (1 accident per 70 000 to 100 000 km in OCDE countries) and the tree of risk situations (see image) branches that need “ninja reflexes” do not represent that much cases …
That is why NEXYAD proposes SafetyNex as an anticipation system that copes with the problem of “never being in emergency situation”. Of course, SafetyNex is not perfect (as every module) and it is important to keep emergency modules in the loop for a valuable collaboration.
If you have a look on the scheme below, you can notice that accident rate reduction brought by SafetyNex (anticipation effect) is much higher than ninja reflexes modules.
NEXYAD is currently integrating modules including SafetyNex into autonomous véhicles … to be continued.
Presentation of the SafetyNex technology by NEXYAD at the INTEMPORA TECHDAY. This congress organized by INTEMPORA was impressive and gathered the French community of ADAS and Autonomous Driving around demos and presentations. Congrats to INTEMPORA. The technology SafetyNex (real time driving risk assesment algorithm developed by NEXYAD) was truely appreciated and we could discuss about applications. The MOVEO Groupement ADAS made good presentations too.
Real Time driving RISK assessment for driving risk PREVENTION and for CONTROL of autonomous driving systems: an application of XAI (*)
(*) eXplanable Artificial Intelligence
Gérard Yahiaoui explaining Nexyad use of Intempora’s RT-Maps