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Xiangchao Meng

2 accepted papers

2026

Boosting Vehicle-to-Vehicle Collaborative Perception in Bird's-Eye View by Attentive Feature Fusion and Robust Pose Correction

RA-L 2026

Collaborative perception enables Connected Autonomous Vehicles (CAVs) to share sensory data, and therefore presents a promising path towards long-range robust environmental understanding by overcoming individual perception limitations such as occlusions. The core challenge of collaborative perceptio

Cited by 0SourcecodeScholar
2026

Identifying Unobserved Road Regions in Bird's-Eye View for Single-Vehicle Perception

RA-L 2026

Visual Bird's-Eye View (BEV) perception is a foundational paradigm in autonomous driving, enabling top-down semantic-spatial representations from multi-view inputs. However, current BEV methods struggle with occlusions, often generating hallucinated predictions in regions that are unobserved by the

Cited by 0SourcecodeScholar