LEADER 05576nam 2201333z- 450 001 9910580214003321 005 20231214133514.0 035 $a(CKB)5690000000011948 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/87529 035 $a(EXLCZ)995690000000011948 100 $a20202207d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Automated Driving Systems 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (294 p.) 311 $a3-0365-4503-4 311 $a3-0365-4504-2 330 $aElectrification, automation of vehicle control, digitalization and new mobility are the mega-trends in automotive engineering, and they are strongly connected. While many demonstrations for highly automated vehicles have been made worldwide, many challenges remain in bringing automated vehicles to the market for private and commercial use. The main challenges are as follows: reliable machine perception; accepted standards for vehicle-type approval and homologation; verification and validation of the functional safety, especially at SAE level 3+ systems; legal and ethical implications; acceptance of vehicle automation by occupants and society; interaction between automated and human-controlled vehicles in mixed traffic; human?machine interaction and usability; manipulation, misuse and cyber-security; the system costs of hard- and software and development efforts. This Special Issue was prepared in the years 2021 and 2022 and includes 15 papers with original research related to recent advances in the aforementioned challenges. The topics of this Special Issue cover: Machine perception for SAE L3+ driving automation; Trajectory planning and decision-making in complex traffic situations; X-by-Wire system components; Verification and validation of SAE L3+ systems; Misuse, manipulation and cybersecurity; Human?machine interactions, driver monitoring and driver-intention recognition; Road infrastructure measures for the introduction of SAE L3+ systems; Solutions for interactions between human- and machine-controlled vehicles in mixed traffic. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $aautomated driving 610 $ascenario-based testing 610 $asoftware framework 610 $atraffic signs 610 $aADAS 610 $atraffic sign recognition system 610 $acooperative perception 610 $aITS 610 $adigital twin 610 $asensor fusion 610 $aedge cloud 610 $aautonomous drifting 610 $amodel predictive control (MPC) 610 $asuccessive linearization 610 $aadaptive control 610 $avehicle motion control 610 $avarying road surfaces 610 $avehicle dynamics 610 $aMask R-CNN 610 $atransfer learning 610 $ainverse gamma correction 610 $aillumination 610 $ainstance segmentation 610 $apedestrian custom dataset 610 $adeep learning 610 $awheel loaders 610 $athrottle prediction 610 $astate prediction 610 $aautomation 610 $asafety validation 610 $aautomated driving systems 610 $adecomposition 610 $amodular safety approval 610 $amodular testing 610 $afault tree analysis 610 $aadaptive cruise control 610 $ainformed machine learning 610 $aphysics-guided reinforcement learning 610 $asafety 610 $aautonomous vehicles 610 $aautonomous conflict management 610 $aUTM 610 $aUAV 610 $aUGV 610 $aU-Space 610 $aframework development 610 $alane detection 610 $asimulation and modelling 610 $amulti-layer perceptron 610 $aconvolutional neural network 610 $adriver drowsiness 610 $aECG signal 610 $aheart rate variability 610 $awavelet scalogram 610 $aautomated driving (AD) 610 $adriving simulator 610 $aexpression of trust 610 $aacceptance 610 $asimulator case study 610 $aNASA TLX 610 $aadvanced driver assistant systems (ADAS) 610 $asystem usability scale 610 $adriving school 610 $avirtual validation 610 $aground truth 610 $areference measurement 610 $acalibration method 610 $asimulation 610 $atraffic evaluation 610 $asimulation and modeling 610 $aconnected and automated vehicle 610 $adriver assistance system 610 $avirtual test and validation 610 $aradar sensor 610 $aphysical perception model 610 $avirtual sensor model 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $aEichberger$b Arno$4edt$01328211 702 $aSzalay$b Zsolt$4edt 702 $aFellendorf$b Martin$4edt 702 $aLiu$b Henry$4edt 702 $aEichberger$b Arno$4oth 702 $aSzalay$b Zsolt$4oth 702 $aFellendorf$b Martin$4oth 702 $aLiu$b Henry$4oth 906 $aBOOK 912 $a9910580214003321 996 $aAdvances in Automated Driving Systems$93038431 997 $aUNINA