Tingbang Liang — accepted AI-conference papers

2025

DynamicPose: Real-time and Robust 6D Object Pose Tracking for Fast-Moving Cameras and Objects

Tingbang Liang, Yixin Zeng, Jiatong Xie, Boyu Zhou

IROS 2025

We present DynamicPose, a retraining-free 6D pose tracking framework that improves tracking robustness in fast-moving camera and object scenarios. Previous work is mainly applicable to static or quasi-static scenes, and its performance significantly deteriorates when both the object and the camera m

Cited by 3 Source ↗Scholar ↗

2025

Rapid Dynamic Obstacle Avoidance for UAVs Enhanced by DVS and Neuromorphic Computing

Siyang Wang, Sheng Yu, Tingbang Liang, Yilin Shi, Yongqiang Ma, Pengju Ren

ICRA 2025

Achieving rapid and accurate dynamic obstacle avoidance is crucial for enhancing the survivability of unmanned aerial vehicles (UAVs) in hazardous conditions. To accomplish dynamic obstacle avoidance, sensors with high temporal resolution and efficient processing models are required. Dynamic vision

Cited by 1 Source ↗code ↗Scholar ↗