590 citations · 667 across the 8 of their papers we have counts for
9 papers
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars
Xiaodong Mei, Yuxiang Sun, Yuying Chen +2
In autonomous driving, navigation through unsignaled intersections with many traffic participants moving around is a challenging task. To provide a solution to this problem, we pro…
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention
Congcong Liu, Yuying Chen, Ming Liu +1
Pedestrian trajectory prediction is a critical yet challenging task, especially for crowded scenes. We suggest that introducing an attention mechanism to infer the importance of di…
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction
Yuying Chen, Congcong Liu, Xiaodong Mei +2
Accurate pedestrian trajectory prediction is of great importance for downstream tasks such as autonomous driving and mobile robot navigation. Fully investigating the social interac…
The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation
Tianyu Liu, Qinghai Liao, Lu Gan +28
Since early 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly across the world. As at the date of writing this article, the disease has been globally reported in 223…
Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments
Congcong Liu, Yuying Chen, Lei Tai +2
Vision-based autonomous driving through imitation learning mimics the behaviors of human drivers by training on pairs of data of raw driver-view images and actions. However, there…
Tightly Coupled 3D Lidar Inertial Odometry and Mapping
Haoyang Ye, Yuying Chen, Ming Liu
Ego-motion estimation is a fundamental requirement for most mobile robotic applications. By sensor fusion, we can compensate the deficiencies of stand-alone sensors and provide mor…
Hierarchical Trajectory Planning for Autonomous Driving in Low-speed Driving Scenarios Based on RRT and Optimization
Yuying Chen, Haoyang Ye, Ming Liu
Though great effort has been put into the study of path planning on urban roads and highways, few works have studied the driving strategy and trajectory planning in low-speed drivi…
Gaze Training by Modulated Dropout Improves Imitation Learning
Yuying Chen, Congcong Liu, Lei Tai +2
Imitation learning by behavioral cloning is a prevalent method that has achieved some success in vision-based autonomous driving. The basic idea behind behavioral cloning is to hav…
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective
Lei Tai, Peng Yun, Yuying Chen +3
End-to-end visual-based imitation learning has been widely applied in autonomous driving. When deploying the trained visual-based driving policy, a deterministic command is usually…