Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way some automated vehicle companies approach the design, testing, verification, and validation of their products.
Traditionally, automotive safety follows functional safety concepts as detailed in the standard ISO 26262. However, automated driving safety goes beyond this standard and includes other safety concepts such as safety of the intended functionality (SOTIF) and multi-agent safety.
Multi-Agent Safety addresses the concept of safety for self-driving vehicles through the inclusion of 10 recent and highly relevent SAE technical papers. Topics that these papers feature include vehicle interaction with other vehicles, pedestrians, bicyclists, and other road objects.
As the second title in a series on automated vehicle safety, each will contain introductory content by the Editor with 10 SAE technical papers specifically chosen to illuminate the specific safety topic of that book.
Introduction
Chapter 1 : Lane-Keeping Behavior and Cognitive Load with Use of Lane Departure Warning
Chapter 2 : Study on Test Scenarios of Environment Perception System under Rear-End Collision Risk
Chapter 3 : Motion Planning of Vehicle Obstacle Avoidance in Complex Traffic Scenarios
Chapter 4 : Driver Behavior While Operating Partially Automated Systems : Tesla Autopilot Case Study
Chapter 5 : Forward Collision Warning : Clues to Optimal Timing of Advisory Warnings
Chapter 6 : Situation Awareness, Scenarios, and Secondary Tasks : Measuring Driver Performance and Safety Margins in Highly Automated Vehicles
Chapter 7 : Frontal Collisions - What Are the Limitations of Future Forward-Looking Safety Systems?
Chapter 8 : Hardware-in-the-Loop (HIL) Implementation and Validation of SAE Level 2 Autonomous Vehicle with Subsystem Fault Tolerant Fallback Performance for Takeover Scenarios
Chapter 9 : Vehicle-GIS Assistant Driving System for Real-time Safety Speed Warning on Mountain Roads
Chapter 10 : Overtaking or Merging? Eco-Routing Decision and Speed Trajectory with Full Terrain Information
Index
