Hierarchical-level rain image generative model based on GAN

Autor: Liu, Zhenyuan, Jia, Tong, Xing, Xingyu, Wu, Jianfeng, Chen, Junyi

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 intended functionality (SOTIF) problems. To efficiently generate data f

Externí odkaz: http://arxiv.org/abs/2309.02964

LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization

Autor: Liu, Lihao, Feng, Tianyue, Xing, Xingyu, Chen, Junyi

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 optimization, the solution set satisfying an inequality with a black-box func

Externí odkaz: http://arxiv.org/abs/2203.13708

Adaptive error injection for robustness verification of decision-making systems for autonomous vehicles.

Autor: Xing, Xingyu, Liu, Lihao, Chen, Junyi, Xiong, Lu, Huang, Yanjun, Yu, Zhuoping

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.); Sep2024, Vol. 238 Issue 10/11, p3412-3423, 12p

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Correction: Accelerated Testing and Evaluation of Autonomous Vehicles Based on Dual Surrogates.

Autor: Wu, Jianfeng, Xing, Xingyu, Xiong, Lu, Chen, Junyi

Publikováno v: Automotive Innovation; Nov2024, Vol. 7 Issue 4, p716-717, 2p