Safe, Autonomous and Intelligent Vehicles

This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular, the authors emphasize design and validation methodologies to address the grand challenges related to safety. This book offers a holistic view of a broad range of...

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Bibliographic Details
Other Authors: Yu, Huafeng (Editor), Li, Xin (Editor), Murray, Richard M. (Editor), Ramesh, S. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Unmanned System Technologies
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Statistical Validation of In-Vehicle Machine Learning Systems
  • Cyberattack-Resilient Hybrid Switching Controller Design with Application to Unmanned Aircraft System
  • Control and Safety of Autonomous Vehicles with Learning-Enabled Components
  • AdaStress: Adaptive Stress Testing and Interpretable Analysis of Safety-Critical Systems
  • Provably-correct control synthesis for vehicle safety systems
  • Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems
  • Adaptation of Human Licensing Examinations to the Certification of Autonomous Systems
  • Model-based Software Synthesis for Safety-critical Cyber-Physical Systems
  • Compositional Verification for Autonomous Systems with Deep Learning Components
  • Index