9 papers
Traffic Sign Recognition in Autonomous Driving: Dataset, Benchmark, and Field Experiment
Guoyang Zhao, Weiqing Qi, Kai Zhang +7
Traffic Sign Recognition (TSR) is a core perception capability for autonomous driving, where robustness to cross-region variation, long-tailed categories, and semantic ambiguity is…
Decision-Driven Semantic Object Exploration for Legged Robots via Confidence-Calibrated Perception and Topological Subgoal Selection
Guoyang Zhao, Yudong Li, Weiqing Qi +5
Conventional navigation pipelines for legged robots remain largely geometry-centric, relying on dense SLAM representations that are fragile under rapid motion and offer limited sup…
MonoGlass3D: Monocular 3D Glass Detection with Plane Regression and Adaptive Feature Fusion
Kai Zhang, Guoyang Zhao, Jianxing Shi +3
Detecting and localizing glass in 3D environments poses significant challenges for visual perception systems, as the optical properties of glass often hinder conventional sensors f…
TSCLIP: Robust CLIP Fine-Tuning for Worldwide Cross-Regional Traffic Sign Recognition
Guoyang Zhao, Fulong Ma, Weiqing Qi +4
Traffic sign is a critical map feature for navigation and traffic control. Nevertheless, current methods for traffic sign recognition rely on traditional deep learning models, whic…
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye Camera
Guoyang Zhao, Yuxuan Liu, Weiqing Qi +3
Accurate depth estimation is crucial for 3D scene comprehension in robotics and autonomous vehicles. Fisheye cameras, known for their wide field of view, have inherent geometric be…
Erase, then Redraw: A Novel Data Augmentation Approach for Free Space Detection Using Diffusion Model
Fulong Ma, Weiqing Qi, Guoyang Zhao +2
Data augmentation is one of the most common tools in deep learning, underpinning many recent advances including tasks such as classification, detection, and semantic segmentation.…