3 papers
cs.RO2026
Evaluating and Improving the Robustness of LiDAR Odometry and Localization Under Real-World Corruptions
Bo Yang, Tri Minh Triet Pham, Jinqiu Yang
LiDAR odometry and localization are two widely used and fundamental applications in robotic and autonomous driving systems. Although state-of-the-art (SOTA) systems achieve high ac…
cs.SE2025
Secure-Instruct: An Automated Pipeline for Synthesizing Instruction-Tuning Datasets Using LLMs for Secure Code Generation
Junjie Li, Fazle Rabbi, Bo Yang +2
Although Large Language Models (LLMs) show promising solutions to automated code generation, they often produce insecure code that threatens software security. Current approaches (…
cs.SE2025
On the Robustness Evaluation of 3D Obstacle Detection Against Specifications in Autonomous Driving
Tri Minh Triet Pham, Bo Yang, Jinqiu Yang
Autonomous driving systems (ADSs) rely on real-time sensor data, such as cameras and LiDARs, for time-critical decisions using deep neural networks. The accuracy of these decisions…