Recent Advances in Autonomous Vehicle Technology—Perception and Path Planning
Series: Sustainable Mobility & Energy;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 30 April 2026
- Number of Volumes 1 pieces, Book
- ISBN 9783032010001
- Binding Hardback
- No. of pages170 pages
- Size 240x168 mm
- Language English
- Illustrations IX, 170 p. 66 illus., 60 illus. in color. Illustrations, black & white 700
Categories
Long description:
"
In autonomous vehicles, perception and planning are core systems enabling safe, efficient navigation. Perception interprets surroundings using data from sensors like cameras, radar, and LiDAR to detect and classify objects, traffic signs, road boundaries, and environmental conditions. Advances in machine learning and computer vision continue to improve perception accuracy and reliability. Planning determines the vehicle’s actions via route, behavioral, and motion planning to safely reach its destination. Seamless integration of perception and planning is essential, relying on fast, reliable data exchange through low-latency, high-dependability frameworks. This book presents the latest technologies in perception and planning, emphasizing their integration and highlighting innovations. It serves researchers, students, engineers, ICT professionals, and industry leaders alike.
" MoreTable of Contents:
Scenario-based quantification of the impact of automated vehicles on traffic.- Adversial exapmles in environment perception for automated driving.- Stable resampling strategies for radar-based dynamic occupancy grids.- Local point cloud features for LiDAR self-supervised representation learning.- On torque-vectoring control for the obstacle avoidance scenario.- Performance evaluation of path tracking controllers for scaled robotic cars.- A nonlinear dead-time compensation method for path tracking control.
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