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« The level of safety to be ensured by automated/autonomous vehicles shall be at least equal to the one ensured by a competent and careful human driver. »

UNECE, WP.29/GRVA/2020/32 – “Revised Framework Document on Automated/Autonomous Vehicles”

Today

Regulation

Homologation and certification are crucial, but not sufficient to demonstrate the security of the autonomous vehicle trajectories.

autonomous vehicles regulation

Various criteria

A lot of security criteria exist to evaluate autonomous vehicle trajectories. There is a lack of a unique, explicable, physical criterion.

autonomous vehicles risk estimation TTC

Massive simulation

Statistics over massive simulation is a costly answer. Problematic scenarios have still to be deeply analysed with the other criteria.

autonomous vehicles massive simulation statistics
deep risk analysis
 
detailed and explainable analysis without massive computing
parametrable software


configurable software to test different hypotheses

beyond regulation deep analysis


Going beyond regulations, with a physical analysis

 
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Our Solution

take into account the uncertainty about the future evolution of obstacles, and the limited capabilities of the vehicle, to deduce the worst-case scenario and the corresponding unavoidable impact speed. This is the severity of the risk.

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norms methods

 

Mobpti solution is based on the Mobpti library. With its Python API, this library can be used in risk analysis official or custom methods.

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