Decision Making Strategies For Automated Driving In Urban Environments
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Decision-making Strategies for Automated Driving in Urban Environments
Author | : Antonio Artuñedo |
Publisher | : Springer Nature |
Total Pages | : 205 |
Release | : 2020-04-25 |
Genre | : Technology & Engineering |
ISBN | : 3030459055 |
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This book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.
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