DOS – Detection of Obstacles and Reading of Lineside Signals
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Design and validate a safety system for automating the observation functions of the train driver.
The automation of driver observation functions is a major technological challenge to overcome for the Autonomous Train. This is precisely what is at stake in this multi-partnership project of innovation and research.
Launched in 2019 for a period of 3 years, the DOS project is part of SNCF’s Autonomous Train programme and aims to offer a system for the detection of obstacles and the reading of lineside signals that meets the requirements of the Autonomous Train both in terms of terms of performance and safety.
- Qualify, validate and demonstrate the safety of the overall perception system;
- Improve the performance of the obstacle detection system, especially in terms of long-range detection (from 150m to 1000m);
- Move from a demonstrator to a prototype.
|Data scienice and AI|
|Safety of critical systems|
- Railway transport
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