1 citations · 1 across the 3 of their papers we have counts for
4 papers
PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation
Yuhang Huang, Xuan Lv, Junyan Xu +25
World foundation models (WFMs) are powerful simulators, yet they predominantly operate in a single-view setting and lack the multi-view 3D consistency required for robotic manipula…
AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests
Yukuan Yang, Xucheng Lu, Zhili Zhang +4
Generating adversarial safety-critical scenarios is a pivotal method for testing autonomous driving systems, as it identifies potential weaknesses and enhances system robustness an…
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving
Shuting Kang, Heng Guo, Lijun Zhang +3
Critical scenario generation requires the ability of sampling critical combinations from the infinite parameter space in the logic scenario. Existing solutions aim to explore the c…
Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test
Pengliang Ji, Li Ruan, Yunzhi Xue +2
Owing to the merits of early safety and reliability guarantee, autonomous driving virtual testing has recently gains increasing attention compared with closed-loop testing in real…