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010   $a3-0365-7331-3
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035   $a(NjHacI)994960000000467897
035   $a(EXLCZ)994960000000467897
100   $a20230623d2023      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAdvanced sensing and safety control for connected and automated vehicles /$fedited by Peng Hang, Yafei Wang
210  1$aBasel, Switzerland :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023.
215   $a1 online resource (250 pages)
311   $a3-0365-7330-5 
330   $aThe connected and automated vehicle (CAV) is a promising piece of technology, anticipated to enhance the safety and effectiveness of mobility. Advanced sensing technologies and control algorithms, working to acquire environmental data, analyze data, and regulate vehicle movements, are key functional components of CAVs. In recent years, the creation of innovative sensing technologies for CAVs has gained substantial attention. CAVs can now interpret sensory data to more accurately detect impediments, track their locations, navigate autonomously in a dynamic environment, and communicate with other nearby vehicles. This has been made possible by advancements in sensing technology. Additionally, by utilizing computer vision and other sensing techniques, the bodily movements, facial expressions, and even mental states of in-cabin persons can be identified.
606   $aAutomated vehicles
606   $aAutomobiles$xAutomatic control
615  0$aAutomated vehicles.
615  0$aAutomobiles$xAutomatic control.
676   $a629.046
702   $aHang$b Peng
702   $aWang$b Yafei
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910719770903321
996   $aAdvanced Sensing and Safety Control for Connected and Automated Vehicles$93360288
997   $aUNINA