04514nam 2201165z- 450 991056648140332120220506(CKB)5680000000037566(oapen)https://directory.doabooks.org/handle/20.500.12854/81125(oapen)doab81125(EXLCZ)99568000000003756620202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvanced Sensing and Control for Connected and Automated VehiclesBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (284 p.)3-0365-3487-3 3-0365-3488-1 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.History of engineering & technologybicsscTechnology: general issuesbicsscanalytic hierarchy architecturearticulated cargo trucksartificial neural networksattentionattention feature fusionautonomous drivingautonomous vehicleautonomous vehiclescollision warning systemconnected and autonomous vehiclesdata-drivendead reckoningelectric vehicleelectroencephalogramend-to-end learningexecutive controlfronto-parietal networkin-vehicle networkkabsch algorithmkalman filtermodel predictive controlmulti-scale channel attentionmulti-task learningmultiple-modeln/aobject detectionobject vehicle estimationoff-trackingpath planningpotential fieldradar accuracyradar latencyreal-time controlroll stabilitysigmoid curvesimulated drivingsimulationstring stabilitytask-cuing experimenttime to collisiontraffic scenestrajectory trackingTROOPtruck platooningtyre blow-outultra-widebandunified chassis controlUnscented Kalman Filterunsprung massurban platooningurban vehicle platooningV2V communicationvehicle dynamic parametersvehicle dynamics modelvehicle-to-vehicle communicationweighted interpolationyaw stabilityHistory of engineering & technologyTechnology: general issuesHuang Chaoedt1326262Du HaipingedtZhao WanzhongedtZhao YifanedtYan FuwuedtLv ChenedtHuang ChaoothDu HaipingothZhao WanzhongothZhao YifanothYan FuwuothLv ChenothBOOK9910566481403321Advanced Sensing and Control for Connected and Automated Vehicles3037230UNINA