TY - GEN
T1 - Binocular camera-based a docking system for an amphibious spherical robot
AU - Guo, Shuxiang
AU - Liu, Yu
AU - Shi, Liwei
AU - Guo, Ping
AU - Xing, Huiming
AU - Hou, Xihuan
AU - Chen, Zhan
AU - Su, Shuxiang
AU - Liu, Huikang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/5
Y1 - 2018/10/5
N2 - In order to fulfill the task about autonomous recovery and charging of robots, a set of robotic docking system based on binocular stereo vision was initially designed and implemented. A binocular camera was used in our docking system. Through the image captured by binocular camera of the surrounding environment, we can obtain the two kinds of image, which include color image and depth image. And in order to get accurate depth information, we conducted a binocular camera calibration experiment. Then according to the depth information, the robot recognize the docking receptacle also as a marker fixed in the pool, then using KCF (Kernelized Correlation Filters) algorithm to track the target and making robot arrive the docking destination accurately. The docking system can be implemented by the process above. During the experiment, we selected the receptacle in the image, the robot recognized target and arrived at the designated location. The experimental results demonstrated the veracity and robustness of the proposed docking system based on binocular stereo vision.
AB - In order to fulfill the task about autonomous recovery and charging of robots, a set of robotic docking system based on binocular stereo vision was initially designed and implemented. A binocular camera was used in our docking system. Through the image captured by binocular camera of the surrounding environment, we can obtain the two kinds of image, which include color image and depth image. And in order to get accurate depth information, we conducted a binocular camera calibration experiment. Then according to the depth information, the robot recognize the docking receptacle also as a marker fixed in the pool, then using KCF (Kernelized Correlation Filters) algorithm to track the target and making robot arrive the docking destination accurately. The docking system can be implemented by the process above. During the experiment, we selected the receptacle in the image, the robot recognized target and arrived at the designated location. The experimental results demonstrated the veracity and robustness of the proposed docking system based on binocular stereo vision.
KW - Amphibious Spherical Robot
KW - Binocular Camera
KW - Docking System
KW - Visual Tracking
UR - https://www.scopus.com/pages/publications/85056314896
U2 - 10.1109/ICMA.2018.8484518
DO - 10.1109/ICMA.2018.8484518
M3 - Conference contribution
AN - SCOPUS:85056314896
T3 - Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
SP - 1621
EP - 1626
BT - Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
Y2 - 5 August 2018 through 8 August 2018
ER -