潘且鲁, 苏剑波, 席裕庚. 基于立体视觉的机器人手眼无标定三维视觉跟踪[J]. 机器人, 2000, 22(4): 293-299..
PAN Qie-lu, SU Jian-bo, XI Yu-geng. UNCALIBRATED 3D ROBOTIC VISUAL TRACKING BASED ON STEREO VISION. ROBOT, 2000, 22(4): 293-299..
Abstract：This paper proposes a new nonlinear visual mapping model for the 3D ro botic visual tracking problem and a novel visual tracking controller is designed based on artificial neural network without explicit external and internal calib ration. Simulation results show that this method can drive the static tracking e rror to zero quickly and keep good robustness and adaptability at the same time. Additionally, the algorithm is very easy to be implemented with low computation al complexity.
[1] Yoshimi B H, Allen P K. Alignment Using an Uncalibrated Camera System. IEEE Trans, Robot Automat, 1995,11(4):516-521 [2] 苏剑波,李耀通.手跟关系的实时估计及平面机器人运动跟踪.第二届全球华人智能控制与智能自动化大会论文集(CWCICIA’97)中国西安,1997.73-76 [3] Hespanha J, Dodds Z, Hager G D, Morse A S. What Can Be Done with an Unealibrated Stereo Systems? Proc 1998IEEE Inter Conf on Robot. Automat, 1998. 1366－1372 [4] Sutanto H, Sharma R, Varma V. Image Based Autodocking without Calibration. Proc 1997 IEEE Inter Conf on RobotAutomat, 1997. 974－979 [5] Scheering C, Kersting B. Uncalibrated Hand-eye Coordination with a Redundant Camera System. Proc 1998 IEEE InterConf on Robot. Automat, 1998. 2953－58 [6] Feddema J T, Geogre Lee C S. Adaptive Image Feature Prediction and Control for Visual Tracking with a Hand-eyeCoordinated Camera. IEEE Trans, S M C, 1990,20(5): 1172－1183 [7] Miller W T. Sensor Based Conrol of Robotic Manipulators Using a General Learning Algorithm. IEEE Trans, RoboticsAutomat, 1989,3: 825－831 [8] Hashimoto H, Kubota T, Sato M, Hurashima F. Visual Control of Robotic Manipulator Based on Neural Networks.IEEE Trans, on Industrial Electronics, 1992,39(6): 490－496 [9] 潘且鲁,苏剑波,席裕庚.基于神经网络的机器人手眼无标定平面视觉跟踪.自动化学报,待发表 [10] Papanikolopoulos N P, Khosla P K. Adaptive Robotic Visual Tracking: Theory and Experiments. IEEE Trans, RobotAutomat, 1993,38(3): 429－445
