Search Results for author: Shengjian Guo

Found 4 papers, 1 papers with code

Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems

3 code implementations14 Sep 2021 Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray

We define the failures (e. g., car crashes) caused by the faulty MSF as fusion errors and develop a novel evolutionary-based domain-specific search framework, FusED, for the efficient detection of fusion errors.

Autonomous Driving Sensor Fusion

Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing

no code implementations2 Jun 2021 Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li

Simulation-based virtual testing has become an essential step to ensure the safety of autonomous driving systems.

Autonomous Driving

SAVIOR: Towards Bug-Driven Hybrid Testing

no code implementations18 Jun 2019 Yao-Hui Chen, Peng Li, Jun Xu, Shengjian Guo, Rundong Zhou, Yulong Zhang, Taowei, Long Lu

Unlike the existing hybrid testing tools, SAVIOR prioritizes the concolic execution of the seeds that are likely to uncover more vulnerabilities.

Software Engineering

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