Sustainable Mobility & Energy

Watzenig, Daniel

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.

Details

Published by: Springer

Publication Date: 2026-04-30

Format: Hardcover

ISBN-13: 9783032010001

DOI: 10.1007/978-3-032-01001-8

Dimensions: 240cm x168cm

Pages: 170