Prototyping of level 3 autonomous vehicles on separated roadway lanes. Among the first open-road experiments in France.
Our team was in charge of all non-control software aspects: data capture and fusion, decision-making, display. Very ambitious guidelines guided our design, with the goal of achieving a system:
A continuation of the Highway Chauffeur project.
SAM (Safety and Acceptability of autonomous driving and Mobility) project brings together a consortium of actors in response to the Autonomous Road Vehicle Experimentation (EVRA) call for projects launched by the agency for the environment and energy management (ADEME).
The work involves prototyping level 3 and 4 autonomous shuttles between business areas (mainly highways and some semi-urban areas around arrival zones) on the La Defense / Roissy-Charles-de-Gaulle and Massy / Dourdan routes.
A robust and independent application to diagnose, collect, and provide real-time data from all types of sensors.
Recording is good. Replaying is better!
Our mapping is based on HERE HD LiveMap, which is automatically converted into our format:
Unavailable or non-updated map portions can be created or corrected using our editor.
The use of lines captured by the camera allows to compensate for the imprecisions of GPS or map data.
The level of confidence that can reasonably be given to a sensor can suddenly vary depending on the environment. SpirOps is therefore developing a system:
The requirements of the project led us not to use the high level data provided by each sensor but rather to exploit the lowest level data possible in order to minimize over-aggressive filtering or imperfect tracking, and to make arbitrations as late as possible, thus exploiting the maximum amount of information (better understanding of the road situation, vehicle maneuvers, concordances/divergences between sensors).
Maximizing the use of each sensor to track:
Anticipating driving decisions can save precious milliseconds:
Our patented decision-making technology is perfectly suited for creating a driver AI.
Ground truth editor for non-regression tests.
To prevent regressions, we have for each commit:
Assists in maintaining existing behaviors and prototyping new ones.