Reprint

Advanced Sensing and Control for Connected and Automated Vehicles

Edited by
March 2022
284 pages
  • ISBN978-3-0365-3487-9 (Hardback)
  • ISBN978-3-0365-3488-6 (PDF)

This book is a reprint of the Special Issue Advanced Sensing and Control for Connected and Automated Vehicles that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

Connected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a hotspot in recent years. Thanks to improved sensing technologies, CAVs are able to interpret sensory information to further detect obstacles, localize their positions, navigate themselves, and interact with other surrounding vehicles in the dynamic environment. Furthermore, leveraging computer vision and other sensing methods, in-cabin humans’ body activities, facial emotions, and even mental states can also be recognized. Therefore, the aim of this Special Issue has been to gather contributions that illustrate the interest in the sensing and control of CAVs.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
TROOP; truck platooning; path planning; kalman filter; V2V communication; string stability; off-tracking; articulated cargo trucks; kabsch algorithm; potential field; sigmoid curve; path planning; autonomous vehicles; connected and autonomous vehicles; artificial neural networks; end-to-end learning; multi-task learning; urban vehicle platooning; simulation; attention; executive control; simulated driving; task-cuing experiment; electroencephalogram; fronto-parietal network; object vehicle estimation; radar accuracy; data-driven; radar latency; weighted interpolation; autonomous vehicle; urban platooning; vehicle-to-vehicle communication; in-vehicle network; analytic hierarchy architecture; traffic scenes; object detection; multi-scale channel attention; attention feature fusion; collision warning system; ultra-wideband; dead reckoning; time to collision; vehicle dynamic parameters; Unscented Kalman Filter; multiple-model; electric vehicle; unified chassis control; unsprung mass; autonomous driving; trajectory tracking; real-time control; model predictive control; tyre blow-out; yaw stability; roll stability; vehicle dynamics model; model predictive control; n/a