04479nam 2201141z- 450 991056648140332120231214133346.0(CKB)5680000000037566(oapen)https://directory.doabooks.org/handle/20.500.12854/81125(EXLCZ)99568000000003756620202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvanced Sensing and Control for Connected and Automated VehiclesBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic 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.Technology: general issuesbicsscHistory of engineering & technologybicsscTROOPtruck platooningpath planningkalman filterV2V communicationstring stabilityoff-trackingarticulated cargo truckskabsch algorithmpotential fieldsigmoid curveautonomous vehiclesconnected and autonomous vehiclesartificial neural networksend-to-end learningmulti-task learningurban vehicle platooningsimulationattentionexecutive controlsimulated drivingtask-cuing experimentelectroencephalogramfronto-parietal networkobject vehicle estimationradar accuracydata-drivenradar latencyweighted interpolationautonomous vehicleurban platooningvehicle-to-vehicle communicationin-vehicle networkanalytic hierarchy architecturetraffic scenesobject detectionmulti-scale channel attentionattention feature fusioncollision warning systemultra-widebanddead reckoningtime to collisionvehicle dynamic parametersUnscented Kalman Filtermultiple-modelelectric vehicleunified chassis controlunsprung massautonomous drivingtrajectory trackingreal-time controlmodel predictive controltyre blow-outyaw stabilityroll stabilityvehicle dynamics modelTechnology: general issuesHistory of engineering & technologyHuang Chaoedt1326262Du HaipingedtZhao WanzhongedtZhao YifanedtYan FuwuedtLv ChenedtHuang ChaoothDu HaipingothZhao WanzhongothZhao YifanothYan FuwuothLv ChenothBOOK9910566481403321Advanced Sensing and Control for Connected and Automated Vehicles3037230UNINA