most citedProgressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.RO20251 cited

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…

cs.CV2025

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…