5 papers
UnsDrive: Towards Robust End-to-End Autonomous Driving in Unstructured Scenes
Nanxin Zeng, Ruiqi Song, Xiangyu Guo +2
End-to-end planning has shown strong promise for autonomous driving, but most existing methods are designed for structured urban roads and generalize poorly to unstructured mining…
OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model
Junjie Cheng, Ruiqi Song, Ye Wu +3
Autonomous driving systems are steadily moving toward end-to-end paradigms to mitigate the limited adaptability of rule-based pipelines in complex traffic environments. However, mo…
UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion
Ye Wu, Ruiqi Song, Baiyong Ding +3
Unstructured scenes present unique challenges for autonomous driving, as irregular obstacles and sparse scene layouts undermine the effectiveness of traditional perception methods…
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey
Yan Gong, Naibang Wang, Jianli Lu +13
Bird's-Eye-View (BEV) perception has become a foundational paradigm in autonomous driving, enabling unified spatial representations that support robust multi-sensor fusion and mult…
SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World Model
Xinqing Li, Ruiqi Song, Qingyu Xie +3
With the rapid advancement of autonomous driving technology, a lack of data has become a major obstacle to enhancing perception model accuracy. Researchers are now exploring contro…