SafeAV - The Book

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Table of Contents:

• Authors
• Project Information
• Introduction
• Autonomous Systems
  • Autonomous Vehicles
  • Ground, Aerial, and Marine Vehicle Architectures
  • Domain-Specific Challenges in Autonomy
  • Definitions, Classification, and Levels of Autonomy
  • Legal, Ethical, and Regulatory Frameworks
  • Introduction to Validation and Verification in Autonomy
  • Validation Requirements across Domains
  • Intersection of Autonomy with Governance
  • Cybersecurity

• Hardware and Sensing Technologies
  • Sensors, Computing Units, and Navigation Systems
  • Hardware Integration and Supply Chain Considerations
  • Validating Sensors
  • Governance, EMC
  • Calibration, Maintenance, and Supply Chain

• Software Systems and Middleware
  • Autonomy Software Stacks
  • Software Lifecycle and Configuration Management
  • Testing Software Systems
  • Governance Safety Critical systems
  • Open issues of validating AI components

• Perception, Mapping and Localisation
  • Object Detection, Sensor Fusion, Mapping, and Positioning
  • AI-based Perception and Scene Understanding
  • Sources of Instability
  • Validation Approaches

• Control, Planning, and Decision-Making
  • Classical and AI-Based Control Strategies
  • Motion Planning and Behavioural Algorithms
  • Validation of Control & Planning
  • Simulation & Formal Methods

• Human-Machine Communication
  • Human–Machine Interface and Communication
  • Modes of Interactions
  • Language of Driving Concepts
  • Safety Concerns and Public Acceptance
  • Verification & Validation of HMI

• Autonomy Validation Tools
  • Overview of V&V Techniques
  • Testing Infrastructure
  • Challenges Ahead
  • Research Outlook