5 papers
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…
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…
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…
Morpheus: A Neural-driven Animatronic Face with Hybrid Actuation and Diverse Emotion Control
Zongzheng Zhang, Jiawen Yang, Ziqiao Peng +6
Previous animatronic faces struggle to express emotions effectively due to hardware and software limitations. On the hardware side, earlier approaches either use rigid-driven mecha…
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…