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cs.CV2026

Unified Map Prior Encoder for Mapping and Planning

Zongzheng Zhang, Sizhe Zou, Guantian Zheng +12

Online mapping and end-to-end (E2E) planning in autonomous driving remain largely sensor-centric, leaving rich map priors, including HD/SD vector maps, rasterized SD maps, and sate…

cs.CV2026

GraphiContact: Pose-aware Human-Scene Robust Contact Perception for Interactive Systems

Xiaojian Lin, Yaomin Shen, Junyuan Ma +7

Monocular vertex-level human-scene contact prediction is a fundamental capability for interactive systems such as assistive monitoring, embodied AI, and rehabilitation analysis. In…

cs.CV2025

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection

Xiaojian Lin, Wenxin Zhang, Yuchu Jiang +7

Hierarchical feature representations play a pivotal role in computer vision, particularly in object detection for autonomous driving. Multi-level semantic understanding is crucial…

cs.CV2025

Delving into Mapping Uncertainty for Mapless Trajectory Prediction

Zongzheng Zhang, Xuchong Qiu, Boran Zhang +11

Recent advances in autonomous driving are moving towards mapless approaches, where High-Definition (HD) maps are generated online directly from sensor data, reducing the need for e…

cs.CV2025

Reusing Attention for One-stage Lane Topology Understanding

Yang Li, Zongzheng Zhang, Xuchong Qiu +10

Understanding lane toplogy relationships accurately is critical for safe autonomous driving. However, existing two-stage methods suffer from inefficiencies due to error propagation…

cs.CV2025

Chameleon: Fast-slow Neuro-symbolic Lane Topology Extraction

Zongzheng Zhang, Xinrun Li, Sizhe Zou +8

Lane topology extraction involves detecting lanes and traffic elements and determining their relationships, a key perception task for mapless autonomous driving. This task requires…