2 citations · 3 across the 4 of their papers we have counts for
4 papers
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
Xinzheng Wu, Junyi Chen, Xingyu Xing +4
Scenario-based virtual testing is one of the most significant methods to test and evaluate the safety of automated driving systems (ADSs). However, it is impractical to enumerate a…
Hierarchical-level rain image generative model based on GAN
Zhenyuan Liu, Tong Jia, Xingyu Xing +2
Autonomous vehicles are exposed to various weather during operation, which is likely to trigger the performance limitations of the perception system, leading to the safety of the i…
An Ontology-based Method to Identify Triggering Conditions for Perception Insufficiency of Autonomous Vehicles
Xingyu Xing, Tong Jia, Junyi Chen +2
The autonomous vehicle (AV) is a safety-critical system relying on complex sensors and algorithms. The AV may confront risk conditions if these sensors and algorithms misunderstand…
LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization
Lihao Liu, Tianyue Feng, Xingyu Xing +1
Black-box functions are broadly used to model complex problems that provide no explicit information but the input and output. Despite existing studies of black-box function optimiz…