Rongjie Yan — accepted AI-conference papers

2022

ComOpT: Combination and Optimization for Testing Autonomous Driving Systems

Changwen Li, Chih-Hong Cheng, Tiantian Sun, Yuhang Chen, Rongjie Yan

ICRA 2022poster

ComOpT is an open-source research tool for coverage-driven testing of autonomous driving systems, focusing on planning and control. Starting with (i) a meta-model characterizing discrete conditions to be considered and (ii) constraints specifying the impossibility of certain combinations, ComOpT fir…

Cited by 25 Source ↗code ↗Scholar ↗

2021

Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions

Yuhang Chen, Chih-Hong Cheng, Jun Yan, Rongjie Yan

IROS 2021poster

While object detection modules are essential functionalities for any autonomous vehicle, the performance of such modules that are implemented using deep neural networks can be, in many cases, unreliable. In this paper, we develop abstraction-based monitoring as a logical framework for filtering pote…

Cited by 5 Source ↗Scholar ↗