Advances in Autonomous Vehicles
A self-driving car, also known as an autonomous vehicle (AV), autonomous car, driverless car, or robotic car (robot-car), is a car incorporating vehicular automation, that is, a ground vehicle that is capable of sensing its environment and moving safely with little or no human input. Self-driving cars combine a variety of sensors to perceive their surroundings, such as thermographic cameras, radar, lidar, sonar, GPS, odometry, and inertial measurement units. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.
Sample Chapter(s)
Preface (34 KB)
Components of the Book:
  • Chapter 1.
    A Comprehensive Survey on the Application of Deep and Reinforcement Learning Approaches in Autonomous Driving
  • Chapter 2.
    A scenario generation pipeline for autonomous vehicle simulators
  • Chapter 3.
    Autonomous vehicles for micro-mobility
  • Chapter 4.
    Fore-sighting autonomous driving - An Ethnographic approach
  • Chapter 5.
    Risk analysis for forecasting cyberattacks against connected and autonomous vehicles
  • Chapter 6.
    Space Invaders: Pedestrian Proxemic Utility Functions and Trust Zones for Autonomous Vehicle Interactions
  • Chapter 7.
    Driving in the Dark: Designing Autonomous Vehicles for Reducing Light Pollution
  • Chapter 8.
    Anticipatory experience in everyday autonomous driving
  • Chapter 9.
    Early bird catches the worm! Meta-analysis of autonomous vehicles adoption – Moderating role of automation level, ownership and culture
  • Chapter 10.
    Design for shared autonomous vehicle (SAV) system employing electrified vehicles: Comparison of battery electric vehicles (BEVs) and fuel cell electric vehicles (FCEVs)
  • Chapter 11.
    Impact of autonomous vehicles on household relocation: An agent-based simulation
  • Chapter 12.
    New needs to consider during accident analysis: Implications of autonomous vehicles with collision reconfiguration systems
  • Chapter 13.
    Giving commands to a self-driving car: How to deal with uncertain situations?
  • Chapter 14.
    How do familiarity and fatal accidents affect acceptance of self-driving vehicles?
Readership: Students, academics, teachers and other people attending or interested in Autonomous Vehicles
Henrik Christensen
University of California, San Diego, La Jolla, California, 92093, USA

Sunniva F. Meyer
Institute of Transport Economics, Oslo, Norway

Fanta Camara
Institute for Transport Studies, University of Leeds, Leeds, UK

Charles Fox
Institute for Transport Studies, University of Leeds, Leeds, UK

and more...
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