Based on the measured LIDAR data, an optimized path is automatically generated with accommodation of current car position, obstacle locations, car operation capability and global environmental restrictions. In this process, the sensor LIDAR was used to detect the obstacles on the fore-path. In this paper, we demonstrate a complete process of obstacle avoidance strategy for unmanned ground vehicle and implement the strategy on the self-developed Arduino based RC Car. However, the implementation of obstacle avoidance functions to commercial vehicles are still under progress. Abstract : Regarding safety, obstacle avoidance has been considered as one of the most important features among ADAS systems for ground vehicles.
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