Automotive Innovation ›› 2021, Vol. 4 ›› Issue (3): 239-240.doi: 10.1007/s42154-021-00158-w

• •    下一篇

Preface for Feature Topic on Intelligent Safety for CAVs

Jun Li & Hong Wang    

  1. School of Vehicle and Mobility, Tsinghua University
  • 出版日期:2021-08-16 发布日期:2021-08-16

Preface for Feature Topic on Intelligent Safety for CAVs

Jun Li & Hong Wang    

  1. School of Vehicle and Mobility, Tsinghua University
  • Online:2021-08-16 Published:2021-08-16

摘要:

Connected and automated driving confronts critical complex traffic scenarios and safety, which attracts increasing attention from academia and industry. To enhance the intelligent safety for connected and automated vehicles (CAVs), including functional safety, safety of the intended functionality (SOTIF), and cybersecurity, efforts are required to seek solutions from fundamental theory, guarantee framework and general/systematic point of view. This feature topic aims to provide a platform for academia, industry, and policymakers, on which they could present the latest research and engineering experience in developing and applying novel technologies. The topics cover SOTIF, cybersecurity, artificial intelligence for CAV safety, risk assessment-based vehicle path planning and decision-making under uncertain environments.

Abstract:

Connected and automated driving confronts critical complex traffic scenarios and safety, which attracts increasing attention from academia and industry. To enhance the intelligent safety for connected and automated vehicles (CAVs), including functional safety, safety of the intended functionality (SOTIF), and cybersecurity, efforts are required to seek solutions from fundamental theory, guarantee framework and general/systematic point of view. This feature topic aims to provide a platform for academia, industry, and policymakers, on which they could present the latest research and engineering experience in developing and applying novel technologies. The topics cover SOTIF, cybersecurity, artificial intelligence for CAV safety, risk assessment-based vehicle path planning and decision-making under uncertain environments.