TY - GEN
T1 - Ping-pong trajectory perception and prediction by a PC based High speed four-camera vision system
AU - Chen, Xiaopeng
AU - Huang, Qiang
AU - Zhang, Weimin
AU - Yu, Zhangguo
AU - Li, Rui
AU - Lv, Peng
PY - 2011
Y1 - 2011
N2 - A high speed vision system is vital for a robot player to play table tennis successfully. The three dimensional ping-pong trajectory should be perceived in high precision at a high frame rate. What's more, with the beginning parts of the trajectory, the following trajectory should be predicted to save enough time for successful planning and control.
AB - A high speed vision system is vital for a robot player to play table tennis successfully. The three dimensional ping-pong trajectory should be perceived in high precision at a high frame rate. What's more, with the beginning parts of the trajectory, the following trajectory should be predicted to save enough time for successful planning and control.
KW - Ball Trajectory Prediction
KW - Bouncing Model
KW - Four-Camera High Speed Vision System
KW - Robot Ping pong Player
UR - https://www.scopus.com/pages/publications/80052420145
U2 - 10.1109/WCICA.2011.5970684
DO - 10.1109/WCICA.2011.5970684
M3 - Conference contribution
AN - SCOPUS:80052420145
SN - 9781612847009
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 1087
EP - 1092
BT - WCICA 2011 - 2011 World Congress on Intelligent Control and Automation, Conference Digest
T2 - 2011 World Congress on Intelligent Control and Automation, WCICA 2011
Y2 - 21 June 2011 through 25 June 2011
ER -