4 citations · 13 across the 11 of their papers we have counts for
11 papers
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Dongkun Zhang, Jintao Xue, Yuxiang Cui +6
Acquiring driving policies that can transfer to unseen environments is challenging when driving in dense traffic flows. The design of traffic flow is essential and previous studies…
Depth-Independent Depth Completion via Least Square Estimation
Xianze Fang, Yunkai Wang, Zexi Chen +2
The depth completion task aims to complete a per-pixel dense depth map from a sparse depth map. In this paper, we propose an efficient least square based depth-independent method t…
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…
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…
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation
Zexi Chen, Jiaxin Guo, Xuecheng Xu +3
Utilizing the trained model under different conditions without data annotation is attractive for robot applications. Towards this goal, one class of methods is to translate the ima…
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory
Yunkai Wang, Dongkun Zhang, Jingke Wang +3
One of the challenges to reduce the gap between the machine and the human level driving is how to endow the system with the learning capacity to deal with the coupled complexity of…
Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map
Xuecheng Xu, Zexi Chen, Jiaxin Guo +3
With the deepening of research on the SLAM system, the possibility of cooperative SLAM with multi-robots has been proposed. This paper presents a map matching and localization appr…
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation
Yunkai Wang, Shenhan Jia, Zexi Chen +2
In the case of the two-person zero-sum stochastic game with a central controller, this paper proposes a best collaborative behavior search and selection algorithm based on reinforc…
Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion
Zexi Chen, Haodong Zhang, Dashun Guo +9
ZJUNlict became the Small Size League Champion of RoboCup 2019 with 6 victories and 1 tie for their 7 games. The overwhelming ability of ball-handling and passing allows ZJUNlict t…
Mechatronic Design of a Dribbling System for RoboCup Small Size Robot
Zheyuan Huang, Yunkai Wang, Lingyun Chen +3
RoboCup SSL is an excellent platform for researching artificial intelligence and robotics. The dribbling system is an essential issue, which is the main part for completing advance…
ZJUNlict Extended Team Description Paper for RoboCup 2019
Zheyuan Huang, Lingyun Chen, Jiacheng Li +6
For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort…