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Advances in Automated Driving Systems

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...

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Bibliographic Details
Main Author: Eichberger, Arno
Other Authors: Szalay, Zsolt, Fellendorf, Martin, Liu, Henry
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Modular Testing
Vehicle Motion Control
Ecg Signal
Expression Of Trust
Throttle Prediction
Connected And Automated Vehicle
Traffic Evaluation
Heart Rate Variability
Driver Drowsiness
Wavelet Scalogram
Autonomous Drifting
N/a
Driver Assistance System
Traffic Sign Recognition System
Safety
Multi-layer Perceptron
Traffic Signs
Informed Machine Learning
Deep Learning
Physics-guided Reinforcement Learning
Adas
Digital Twin
Safety Validation
Ground Truth
Driving Simulator
History Of Engineering & Technology / Bicssc
Instance Segmentation
Automated Driving (ad)
Automation
Simulation
Software Framework
Inverse Gamma Correction
Technology: General Issues / Bicssc
Acceptance
Adaptive Cruise Control
Autonomous Conflict Management
Advanced Driver Assistant Systems (adas)
Transfer Learning
Successive Linearization
Its
Reference Measurement
Virtual Validation
Decomposition
Sensor Fusion
Physical Perception Model
Scenario-based Testing
Calibration Method
Varying Road Surfaces
Illumination
Modular Safety Approval
Simulation And Modeling
Fault Tree Analysis
Uav
Autonomous Vehicles
Vehicle Dynamics
Virtual Test And Validation
Edge Cloud
Driving School
Cooperative Perception
System Usability Scale
U-space
Mask R-cnn
Ugv
Simulation And Modelling
Utm
State Prediction
Framework Development
Wheel Loaders
Adaptive Control
Lane Detection
Convolutional Neural Network
Simulator Case Study
Virtual Sensor Model
Model Predictive Control (mpc)
Automated Driving Systems
Pedestrian Custom Dataset
Radar Sensor
Automated Driving
Nasa Tlx
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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 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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (294 p.)
ISBN:9783036545035
9783036545042
books978-3-0365-4504-2

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