BehAVExplor: Behavior diversity guided testing for autonomous driving systems
Testing Autonomous Driving Systems (ADSs) is a critical task for ensuring the reliability and safety of autonomous vehicles. Existing methods mainly focus on searching for safety violations while the diversity of the generated test cases is ignored, which may generate many redundant test cases and f...
Saved in:
Main Authors: | CHENG, Mingfei, ZHOU, Yuan, XIE, Xiaofei |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8246 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Specification-based autonomous driving system testing
by: ZHOU, Yuan, et al.
Published: (2023) -
LawBreaker: An approach for specifying traffic laws and fuzzing autonomous vehicles
by: SUN, Yang, et al.
Published: (2022) -
Testing automated driving systems by breaking many laws efficiently
by: ZHANG, Xiaodong, et al.
Published: (2023) -
Prioritized experience-based reinforcement learning with human guidance for autonomous driving
by: Wu, Jingda, et al.
Published: (2024) -
Safety-aware human-in-the-loop reinforcement learning with shared control for autonomous driving
by: Huang, Wenhui, et al.
Published: (2025)