St Germain en Laye, July 3rd 2024.
This is a first result of a tough work since a few weeks, thanks to dSPACE Aurelion Simulation Software and map by HERE Technologies. Nexyad team created a virtual 3D environment from real roads around Paris. Then it is possible to integrate our software product SafetyNex into a virtual vehicle (our democar Dreamotor1) to test use-cases for ADAS and AD systems, in particular here Predictive ACC.
See below 6 differents use-cases around Pedestrian Crossing:
How it works ?
Nexyad works on EVENTS instead of scenarios.
Events are for example: a pedestrian crossing, a stop sign, a curve, a car ahead, a bicycle, etc.
We associate a PRUDENCE FUNCTION to each detected event in parallel. Prudence functions are dynamic as events are.
The combination of detected events make then a “dynamic scenario” that is taken into account FORMALLY by LOGICAL fusion of prudence functions*
Prudence functions are decomposition of driving in independent functions.
By doing so, we do not need an infinite number of Scenarios to record in a large database. This reduces complexity by a 100 factor for design of Self-Driving tasks. Duration of development, test and validation are reduced with the same rate and computing is much lighter (energy consumption and heat production onboard).
* AI methods used are: Fuzzy Logic & Theory of Possibility
SafetyNex fusions all available informations onboard and computes 20 times per second Prudent Driving Behavior using the Metric of Driving Prudence also developed by Nexyad.
SafetyNex fusions all available inputs information (map, sensors, data streams) to compute Prudent Driving 20 times per second, thanks to the Nexyad Metric of Driving Prudence.
The Metric of Driving Prudence has been developed during more than 15 years thru 12 scientific collaborative research programs with experts of road safety, professional drivers, police of the road and insurers of 19 countries.