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20162021
most citedLifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

260 citations · 1.4k across the 56 of their papers we have counts for

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Showing 2019Show all

17 papers · 1 filter

cs.RO2019★ 2 cited

Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data

Boyi Liu, Lujia Wang, Ming Liu +1

Humans are capable of learning a new behavior by observing others to perform the skill. Similarly, robots can also implement this by imitation learning. Furthermore, if with extern…

cs.RO2019

Road Curb Detection Using A Novel Tensor Voting Algorithm

Yilong Zhu, Dong Han, Bohuan Xue +4

Road curb detection is very important and necessary for autonomous driving because it can improve the safety and robustness of robot navigation in the outdoor environment. In this…

cs.RO2019★ 1 cited

Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT

Umar Ozgunalp, Rui Fan, Shanshan Cheng +7

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based…

cs.RO2019

Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape

Bohuan Xue, Jianhao Jiao, Yilong Zhu +4

Multi-LiDAR systems have been prevalently applied in modern autonomous vehicles to render a broad view of the environments. The rapid development of 5G wireless technologies has br…

cs.RO2019★ 1 cited

Autonomous UAV Landing System Based on Visual Navigation

Zhixin Wu, Peng Han, Ruiwen Yao +7

In this paper, we present an autonomous unmanned aerial vehicle (UAV) landing system based on visual navigation. We design the landmark as a topological pattern in order to enable…

cs.RO2019★ 2 cited

A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry

Huaiyang Huang, Rui Fan, Yilong Zhu +2

Pavement condition is crucial for civil infrastructure maintenance. This task usually requires efficient road damage localization, which can be accomplished by the visual odometry…