TransportationNature Communications
Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
S. Feng, X. Yan, et al.
This groundbreaking research by Shuo Feng, Xintao Yan, Haowei Sun, Yiheng Feng, and Henry X. Liu uncovers a novel approach to autonomous vehicle testing. By introducing a naturalistic and adversarial driving environment, the study dramatically reduces the testing miles required while maintaining evaluation integrity. Discover how this innovation can enhance the safety of autonomous driving in a fraction of the usual time!
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
What Is in There for Artificial Intelligence to Support Mental Health Care for Persons with Serious Mental Illness? Opportunities and Challenges
B. Wang, C. K. Grønvik, et al.
Psychology
What Is in There for Artificial Intelligence to Support Mental Health Care for Persons with Serious Mental Illness? Opportunities and Challenges
B. Wang, C. K. Grønvik, et al.
Engineering and Technology
Learning naturalistic driving environment with statistical realism
X. Yan, Z. Zou, et al.
Transportation
How should autonomous vehicles drive? Policy, methodological, and social considerations for designing a driver
A. Y. Bin-nun, P. Derler, et al.

