68 citations · 128 across the 6 of their papers we have counts for
6 papers
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
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 v…
FLYOVER: A Model-Driven Method to Generate Diverse Highway Interchanges for Autonomous Vehicle Testing
Yuan Zhou, Gengjie Lin, Yun Tang +6
It has become a consensus that autonomous vehicles (AVs) will first be widely deployed on highways. However, the complexity of highway interchanges becomes the bottleneck for deplo…
Automatic Map Generation for Autonomous Driving System Testing
Yun Tang, Yuan Zhou, Kairui Yang +5
High-definition (HD) maps are essential in testing autonomous driving systems (ADSs). HD maps essentially determine the potential diversity of the testing scenarios. However, the c…
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Ziyuan Zhong, Yun Tang, Yuan Zhou +3
Automated Driving Systems (ADSs) have seen rapid progress in recent years. To ensure the safety and reliability of these systems, extensive testings are being conducted before thei…
Multi-IF : An Approach to Anomaly Detection in Self-Driving Systems
Kun Cheng, Yuebin Bai, Yuan Zhou +2
Autonomous driving vehicles (ADVs) are implemented with rich software functions and equipped with many sensors, which in turn brings broad attack surface. Moreover, the execution e…
Guardauto: A Decentralized Runtime Protection System for Autonomous Driving
Kun Cheng, Yuan Zhou, Bihuan Chen +3
Due to the broad attack surface and the lack of runtime protection, potential safety and security threats hinder the real-life adoption of autonomous vehicles. Although efforts hav…