Advanced Sensing and Control for Connected and Automated Vehicles

• Altri autori: Huang, Chao (Redattore), Du, Haiping (Redattore), Zhao, Wanzhong (Redattore), Zhao, Yifan (Redattore), Yan, Fuwu (Redattore), Lv, Chen (Redattore)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Soggetti: Technology: general issues; History of engineering & technology; TROOP; truck platooning; path planning; kalman filter; V2V communication; string stability; off-tracking; articulated cargo trucks; kabsch algorithm; potential field; sigmoid curve; 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; n/a
• Accesso online: DOAB: download the publication; DOAB: description of the publication

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,...