activity
20192021
most citedTightly Coupled 3D Lidar Inertial Odometry and Mapping

590 citations · 667 across the 8 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

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…

cs.RO2019★ 590 cited

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…

cs.RO2019★ 3 cited

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…

cs.CV2019

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…

cs.RO2019★ 3 cited

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…