A fallback approach for an automated vehicle encountering sensor failure in monitoring environment

W Xue, B Yang, T Kaizuka… - 2018 IEEE Intelligent …, 2018 - ieeexplore.ieee.org
2018 IEEE Intelligent Vehicles Symposium (IV), 2018ieeexplore.ieee.org
Dynamic driving task (DDT) fallback turns to be an essential part in level 3 or higher driving
automation systems, which is responsible to either perform the DDT or achieve a minimal
risk condition after encountering automated driving system (ADS) failure. As a typical ADS
failure, sensor failure can prevent ADS from performing on-road driving safely, and thus a
minimal risk condition can be achieved when the failed vehicle stops away from the active
lane. Therefore, this paper considers a level 4 ADS-dedicated vehicle encountering front …
Dynamic driving task (DDT) fallback turns to be an essential part in level 3 or higher driving automation systems, which is responsible to either perform the DDT or achieve a minimal risk condition after encountering automated driving system (ADS) failure. As a typical ADS failure, sensor failure can prevent ADS from performing on-road driving safely, and thus a minimal risk condition can be achieved when the failed vehicle stops away from the active lane. Therefore, this paper considers a level 4 ADS-dedicated vehicle encountering front sensor failure in highway traffic. The proposed fallback approach is designed to avoid potential collision with surrounding vehicles while bringing the vehicle to a stop on the designated parking zone, thus achieve a minimal risk condition. Safety constraint is proposed based on the assumption that the failed vehicle is remarkable by surrounding vehicles, and enforced using model predictive control. As a result, simulation is conducted in Carsim/Simulink environment.
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