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Books > Business & Economics > Business & management > Management & management techniques > Management decision making
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Decision-making Strategies for Automated Driving in Urban Environments (Paperback, 1st ed. 2020)
Loot Price: R2,873
Discovery Miles 28 730
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Decision-making Strategies for Automated Driving in Urban Environments (Paperback, 1st ed. 2020)
Series: Springer Theses
Expected to ship within 10 - 15 working days
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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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