1 citations · 1 across the 2 of their papers we have counts for
4 papers
ComOpT: Combination and Optimization for Testing Autonomous Driving Systems
Changwen Li, Chih-Hong Cheng, Tiantian Sun +2
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 di…
Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions
Yuhang Chen, Chih-Hong Cheng, Jun Yan +1
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…
Testing Autonomous Systems with Believed Equivalence Refinement
Chih-Hong Cheng, Rongjie Yan
Continuous engineering of autonomous driving functions commonly requires deploying vehicles in road testing to obtain inputs that cause problematic decisions. Although the discover…
Continuous Safety Verification of Neural Networks
Chih-Hong Cheng, Rongjie Yan
Deploying deep neural networks (DNNs) as core functions in autonomous driving creates unique verification and validation challenges. In particular, the continuous engineering parad…