Advances in Automated Driving Systems

• Other Authors: Eichberger, Arno (Editor), Szalay, Zsolt (Editor), Fellendorf, Martin (Editor), Liu, Henry (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; History of engineering & technology; automated driving; scenario-based testing; software framework; traffic signs; ADAS; traffic sign recognition system; cooperative perception; ITS; digital twin; sensor fusion; edge cloud; autonomous drifting; model predictive control (MPC); successive linearization; adaptive control; vehicle motion control; varying road surfaces; vehicle dynamics; Mask R-CNN; transfer learning; inverse gamma correction; illumination; instance segmentation; pedestrian custom dataset; deep learning; wheel loaders; throttle prediction; state prediction; automation; safety validation; automated driving systems; decomposition; modular safety approval; modular testing; fault tree analysis; adaptive cruise control; informed machine learning; physics-guided reinforcement learning; safety; autonomous vehicles; autonomous conflict management; UTM; UAV; UGV; U-Space; framework development; lane detection; simulation and modelling; multi-layer perceptron; convolutional neural network; driver drowsiness; ECG signal; heart rate variability; wavelet scalogram; automated driving (AD); driving simulator; expression of trust; acceptance; simulator case study; NASA TLX; advanced driver assistant systems (ADAS); system usability scale; driving school; virtual validation; ground truth; reference measurement; calibration method; simulation; traffic evaluation; simulation and modeling; connected and automated vehicle; driver assistance system; virtual test and validation; radar sensor; physical perception model; virtual sensor model; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Electrification, 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 t...