activity
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

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.RO2018

Mobile Robot Localisation and Navigation Using LEGO NXT and Ultrasonic Sensor

Yanan Liu, Rui Fan, Bin Yu +5

Mobile robots are becoming increasingly important both for individuals and industries. Mobile robotic technology is not only utilised by experts in this field but is also very popu…

cs.CV2018★ 2 cited

Focal Loss in 3D Object Detection

Peng Yun, Lei Tai, Yuan Wang +2

3D object detection is still an open problem in autonomous driving scenes. When recognizing and localizing key objects from sparse 3D inputs, autonomous vehicles suffer from a larg…

cs.RO2018★ 4 cited

PCR-Pro: 3D Sparse and Different Scale Point Clouds Registration and Robust Estimation of Information Matrix For Pose Graph SLAM

M. Usman Maqbool Bhutta, Ming Liu

For both indoor and outdoor environments, we propose an efficient and novel method for different scales and sparse 3D point clouds registration that cannot be handled by the curren…

cs.CV2018★ 3 cited

Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation

Han Ma, Yixin Ma, Jianhao Jiao +5

Lane detection is very important for self-driving vehicles. In recent years, computer stereo vision has been prevalently used to enhance the accuracy of the lane detection systems.…

cs.CV2018★ 7 cited

Real-Time Subpixel Fast Bilateral Stereo

Rui Fan, Yanan Liu, Mohammud Junaid Bocus +2

Stereo vision technique has been widely used in robotic systems to acquire 3-D information. In recent years, many researchers have applied bilateral filtering in stereo vision to a…

eess.SY2018★ 4 cited

Convexity Analysis of Optimization Framework of Attitude Determination from Vector Observations

Jin Wu, Zebo Zhou, Min Song

In the past several years, there have been several representative attitude determination methods developed using derivative-based optimization algorithms. Optimization techniques e…