Vision-based obstacle avoidance

Details Vision-based obstacle avoidance Vision-based obstacle avoidance

2006-07-18

2006-07-18

Black, Thomas G. (Department: 3661)

Data processing: generic control systems or specific application

Specific application, apparatus or process

Robot control

C701S301000

Reexamination Certificate

active

07079924

ABSTRACT:
A method for allowing a robot to avoid objects along a programmed path: first, a field of view for an electronic imager of the robot is established along a path where the electronic imager obtains the object location information within the field of view; second, a population coded control signal is then derived from the object location information and is transmitted to the robot; finally, the robot then responds to the control signal and avoids the detected object.

REFERENCES:
patent: 5983161 (1999-11-01), Lemelson et al.
patent: 6275773 (2001-08-01), Lemelson et al.
patent: 6487500 (2002-11-01), Lemelson et al.
patent: 6553130 (2003-04-01), Lemelson et al.
patent: 6906639 (2005-06-01), Lemelson et al.
Yagi et al.., Map-based navigation for a mobile robot with omnidirectional image sensor COPIS, 1995, IEEE, p. 634-648.
Yagi et al., Estimating location and avoiding collision against unknown obstacles for the mobile robot usign omnidirectional image sensor COPIS, 1991, IEEE, p. 909-914.
Yagi et al.., Map-based navigation for the mobile robot using omnidirectional image sensor COPIS, 1992, IEEE, p. 47-52.
Coombs et al., Real-time obstacle aboidance using central flow divergence, and peripheral flow, 1998, IEEE, p. 49-59.
Wilson et al. Decoding Population Codes, 2000, IEEE, p. 137-140.
Trebub, Sparse coding of faces in a neuronal model: Interpreting cell population response in object recognition, 1997, Internet, p. 1-21.
Abbott et al., The effect of correlated variability on the accuracy of a population code, 1999, Internet, p. 1-11.
Hafliger, What is the neural code? 2002, Internet, p. 1-8.
Longuet-Higgins et al., “The Interpretation of a Moving Retinal Image,” Proc. R. Soc. Lond. B 208, 385-397 (1990).
Nowlan et al., “A Selection Model for Motion Processing in Area MT of Primates,” The Journal of Neuroscience, Feb. 1995, 15(2): 1195-1214.
Adelson et al., “Spatiotemporal Energy Models for the Perception of Motion,” J. Opt. Soc. Am. A/vol. 2, No. 2, Feb. 1985, 284-299.
Perrone, “Model for the Computation of Self-Motion in Biological Systems,” vol. 9, NO. / Feb. 1992, J. Opt. Soc. Am. A, 177-194.
Grzywacz et al., “A Model for the Estimate of Local Image Velocity by Cells in the Visual Cortex,” Proc. R. Soc. Lond. B 239, 129-161 (1990).

Affiliated with

Also associated with

Rating

Vision-based obstacle avoidance does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Vision-based obstacle avoidance, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Vision-based obstacle avoidance will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3598326