7 citations · 34 across the 19 of their papers we have counts for
5 papers · 1 filter
Domain Generalization for Vision-based Driving Trajectory Generation
Yunkai Wang, Dongkun Zhang, Yuxiang Cui +5
One of the challenges in vision-based driving trajectory generation is dealing with out-of-distribution scenarios. In this paper, we propose a domain generalization method for visi…
Learning Interpretable BEV Based VIO without Deep Neural Networks
Zexi Chen, Haozhe Du, Xuecheng Xu +3
Monocular visual-inertial odometry (VIO) is a critical problem in robotics and autonomous driving. Traditional methods solve this problem based on filtering or optimization. While…
Learn to Differ: Sim2Real Small Defection Segmentation Network
Zexi Chen, Zheyuan Huang, Yunkai Wang +3
Recent studies on deep-learning-based small defection segmentation approaches are trained in specific settings and tend to be limited by fixed context. Throughout the training, the…
Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language
Haodong Zhang, Weijie Li, Jiangpin Liu +4
Motion retargeting from a human demonstration to a robot is an effective way to reduce the professional requirements and workload of robot programming, but faces the challenges res…
Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN
Yunshuang Li, Zheyuan Huang, Zexi chen +2
Ground robots always get collision in that only if they get close to the obstacles, can they sense the danger and take actions, which is usually too late to avoid the crash, causin…