论文信息 - Robot navigation by combining central and peripheral optical flow detection on a space-variant map

Robot navigation by combining central and peripheral optical flow detection on a space-variant map

Biological and technical autonomous agents have to achieve basic behaviors of navigation and obstacle avoidance. If they are confined to a monocular visual sensor the optical flow field induced by egomotion can be evaluated in the periphery for speed and direction control, whereas the central flow indicates imminent collisions. We show how a complex-logarithmic mapping of the image is especially apt for the combined evaluation of the flow field for these navigational tasks. We implemented a robot simulation tool to test reliability, speed, control and robustness of our scheme.

[1] Yiannis Aloimonos,et al. Is visual reconstruction necessary? obstacle avoidance without passive ranging , 1992, J. Field Robotics.

[2] Kostas Daniilidis. Computation of 3-D-Motion Parameters Using the Log-Polar Transform , 1995, CAIP.

[3] Andrew Duchon. Maze Navigation Using Optical Flow , 1996 .

[4] Martin Herman,et al. Real-time obstacle avoidance using central flow divergence and peripheral flow , 2017, Proceedings of IEEE International Conference on Computer Vision.

[5] Svetha Venkatesh,et al. Insect inspired behaviours for the autonomous control of mobile robots , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[6] Ta Camus,et al. Real-Time Optical Flow , 1995 .

[7] T. Poggio,et al. A parallel algorithm for real-time computation of optical flow , 1989, Nature.

[8] Pattie Maes,et al. Maze Navigation Using Optical Flow , 1996 .

[9] Mandyam V. Srinivasan,et al. Natural and artificial low-level seeing systems - How bees exploit optic flow: behavioural experiments and neural models , 1992 .

[10] Giulio Sandini,et al. On the Advantages of Polar and Log-Polar Mapping for Direct Estimation of Time-To-Impact from Optical Flow , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[11] Tsai Hong Hong,et al. Real-time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow | NIST , 1995 .

[12] V. Braitenberg. Vehicles, Experiments in Synthetic Psychology , 1984 .