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Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments 期刊论文
Sensors, 2021, 期号: 21, 页码: 1-24
作者:  Zheng Rong;  Xiangwei Dang;  Xingdong Liang
Adobe PDF(1080Kb)  |  收藏  |  浏览/下载：203/82  |  提交时间：2022/04/06
SLAM  dynamic environments  LiDAR  mmW-radar  sensor fusion  moving objects  
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：234/76  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
An Underwater Micro Cable-Driven Pan-Tilt Binocular Vision System With Spherical Refraction Calibration 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Qiu, Changlin;  Wu, Zhengxing;  Kong, Shihan;  Yu, Junzhi
Adobe PDF(2362Kb)  |  收藏  |  浏览/下载：160/1  |  提交时间：2021/11/04
Pan-tilt camera  target tracking  underwater measurement  underwater refraction correction  
A Calibration and 3-D Measurement Method for an Active Vision System With Symmetric Yawing Cameras 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Xu, De;  Zhang, Di;  Liu, Xilong;  Ma, Liping
Adobe PDF(2707Kb)  |  收藏  |  浏览/下载：301/55  |  提交时间：2021/11/03
3-D measurement  active vision  calibration  stereo vision  symmetric yawing system  
MGRL: Graph neural network based inference in a Markov network with Reinforcement Learning for visual navigation 期刊论文
Neurocomputing, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Li, Dong
Adobe PDF(976Kb)  |  收藏  |  浏览/下载：253/73  |  提交时间：2020/10/19
Visual navigation, graph neural network, Markov network, reinforcement learning, probabilistic graph model