4 citations · 6 across the 15 of their papers we have counts for
5 papers · 1 filter
SFVO: Decoupled Confidence-Guided Stereo-Flow Visual Odometry with Bidirectional PnP
Kai Zhang, Guoyang Zhao, Jun Ma
Deep learning-based visual odometry (VO) has achieved significant progress, yet most existing methods focus on a monocular approach, which suffers from scale ambiguity. Stereo VO p…
MacTok: Robust Continuous Tokenization for Image Generation
Hengyu Zeng, Xin Gao, Guanghao Li +5
Continuous image tokenizers enable efficient visual generation, and those based on variational frameworks can learn smooth, structured latent representations through KL regularizat…
Annotation-Free Detection of Drivable Areas and Curbs Leveraging LiDAR Point Cloud Maps
Fulong Ma, Daojie Peng, Jun Ma
Drivable areas and curbs are critical traffic elements for autonomous driving, forming essential components of the vehicle visual perception system and ensuring driving safety. Dee…
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…
Structured Observation Language for Efficient and Generalizable Vision-Language Navigation
Daojie Peng, Fulong Ma, Jun Ma
Vision-Language Navigation (VLN) requires an embodied agent to navigate complex environments by following natural language instructions, which typically demands tight fusion of vis…