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In the future, more and more cars will be equipped with Advanced Driver-Assistance Systems (ADAS) like Adaptive Cruise Control (ACC), Collision Avoidance System and many more. Currently, the driver is held responsible by law to perceive the environment and take over control if it is required. But in foreseeable future highly automated vehicles or even fully automated vehicles will appear on the road; where the vehicle is responsible for perceiving the environment, operating the vehicle and intervening in hazardous situations. By then it will be necessary that systems must not fail unnoticed. Therefore, it is mandatory to monitor safety relevant components. For instance Light Detection and Ranging (LiDAR) Systems like the 1D Micro-Electro-Mechanical System (MEMS) Micro-Scanning LiDAR, which will be part of intelligent sensor fusion in future ADAS. As a matter of course various safety monitors and safety devices are installed in highly automated vehicles to ensure an appropriately high level of safety. To further increase the safety level of the entire environmental perception system, we propose our novel Monitors for the Safety-Critical MEMS Driver of the LiDAR part in the sensor fusion unit. In this publication, we introduce novel system architectures that are able to verify the correct operation of internal control systems in MEMS-based LiDAR systems respectively to assess the reliability of the MEMSbased LiDAR in the sensor fusion unit of the entire environment perception system. To evaluate the effectiveness of our novel monitoring approaches, we implemented the procedures on a 1D MEMS Micro-Scanning LiDAR prototype platform.
|Number of pages||11|
|Journal||International Journal on Advances in Systems and Measurements|
|Publication status||Published - 2020|