Brooks, R.A.,
Solving the Find-Path Problem by Good Representation of Free Space,
SMC(13), 1983, pp. 190-197.
BibRef
8300
Brooks, R.A., <
Find-Path for a PUMA-Class Robot,
AAAI-83(40-44).
BibRef
8300
Brooks, R.A.,
Solving the Find-Path Problem by Representing Free Space as
Generalized Cones,
MIT AI Memo-674, May 1982.
BibRef
8205
And:
Visual Map Making for a Mobile Robot,
CRA85(824-829).
General reasoning applied to map analysis for a mobile robot.
BibRef
Brooks, R.A.,
A Mobile Robot with Onboard Parallel Processor and Large Workspace Arm,
AAAI-86(1096-1100).
BibRef
8600
Courtney, J.W.,
Magee, M.J.,
Aggarwal, J.K.,
Robot Guidance Using Computer Vision,
PR(17), No. 6, 1984, pp. 585-592.
WWW Version.
BibRef
8400
Moravec, H.P.,
Sensor Fusion in Certainty Grids for Mobile Robots,
AIMag(9), No. 2, Summer 1988, pp. 61-74.
Sensor Fusion. This combines stereo and sonar data or many different stereo
computations to get better coverage and better results.
BibRef
8800
Moravec, H.P.[Hans P.],
Robot Spatial Perception by Stereoscopic Vision and 3D Evidence Grids,
CMU-RI-TR-96-34, September 1996.
Postscript Version.
BibRef
9609
Acampora, A.S., and
Winters, J.H.,
Three-Dimensional Ultrasonic Vision for Robotic Applications,
PAMI(11), No. 3, March 1989, pp. 291-303.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Sonar Range Sensors.
BibRef
8903
Kweon, I., and
Kanade, T.,
High-Resolution Terrain Map from Multiple Sensor Data,
PAMI(14), No. 2, February 1992, pp. 278-292.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Range Data, Registration. Track the ERIM data through the sequence to get a much better
representation of the surface. Uses the existing DEM to
reduce accumulation errors.
BibRef
9202
Veatch, P.A., and
Davis, L.S.,
Efficient Algorithms for Obstacle Detection Using Range Data,
CVGIP(50), No. 1, April 1990, pp. 50-74.
WWW Version. Find the drivable path from the ERIM range data.
BibRef
9004
Yagi, Y.,
Kawato, S.,
Tsuji, S.,
Real-Time Omnidirectional Image Sensor (COPIS) for
Vision-Guided Navigation,
RA(10), No. 1, February 1994, pp. 11-22.
See also Map-Based Navigation for a Mobile Robot with Omnidirectional Image Sensor COPIS.
BibRef
9402
Yagi, Y.S.[Yasu-Shi],
Yachida, M.[Masahiko],
Real-Time Omnidirectional Image Sensors,
IJCV(58), No. 3, July-August 2004, pp. 173-207.
WWW Version.
0404
BibRef
Yagi, Y., and
Yachida, M.,
Real-Time Generation of Environmental Map and Obstacle Avoidance
Using Omnidirectional Image Sensor with Conic Mirror,
CVPR91(160-165).
IEEE Abstract. IEEE Top Reference.
Panoramic Views.
Camera, Conical Mirror.
Horizon Vision.
BibRef
9100
Yagi, Y.S.[Yasu-Shi],
Imai, K.[Kousuke],
Tsuji, K.[Kentaro],
Yachida, M.[Masahiko],
Iconic Memory-Based Omnidirectional Route Panorama Navigation,
PAMI(27), No. 1, January 2005, pp. 78-87.
IEEE Abstract. IEEE Top Reference.
0412
BibRef
Zhang, Z.,
Weiss, R., and
Riseman, E.M.,
Feature Matching in 360^o Waveforms for Robot Navigation,
CVPR91(742-743).
IEEE Abstract. IEEE Top Reference.
Panoramic Views.
Camera, Spherical Mirror.
Horizon Vision.
BibRef
9100
Hong, J.W.,
Tan, X.,
Pinette, B.,
Weiss, R., and
Riseman, E.M.,
Image-Based Navigation Using 360^o Views,
DARPA90(782-791).
Camera, Spherical Mirror.
Horizon Vision. Discusses matching and navigation, but is really a sensor paper. A
spherical mirror above the robot with a camera gets a circular
view of the scene. Features on the rim of the scene are
relatively stable.
BibRef
9000
Talluri, R.K., and
Aggarwal, J.K.,
Image/Map Correspondence for Mobile Robot Self-Location
Using Computer Graphics,
PAMI(15), No. 6, June 1993, pp. 597-601.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9306
Earlier:
Positional Estimation of a Mobile Robot Using Edge Visibility Regions,
CVPR91(714-715).
IEEE Abstract. IEEE Top Reference.
BibRef
And:
Find the position given a map of a polyhedral scene.
BibRef
Talluri, R.K.,
Aggarwal, J.K.,
Mobile Robot Self-Location Using Model-Image Feature Correspondence,
RA(12), No. 1, February 1996, pp. 63-77.
BibRef
9602
Talluri, R.K.,
Aggarwal, J.K.,
Position Estimation for an Autonomous Mobile Robot in an
Outdoor Environment,
RA(8), 1992, pp. 573-584.
BibRef
9200
Earlier:
Position Estimation for a Mobile Robot in an Unstructured Environment,
IROS90(159-166).
BibRef
Talluri, R.K.,
Aggarwal, J.K.,
Positional Estimation Techniques for an Autonomous Mobile Robot:
A Review,
(Univ. Texas, Austin)
HPRCV92(Part 4, Chapter 4).
BibRef
9200
del Bimbo, A.,
Landi, L.,
Santini, S.,
Dynamic Neural Estimation for Autonomous Vehicles Driving,
ICPR92(II:350-354).
IEEE DOI Link
BibRef
9200
Mitchell, J.S.B.,
Payton, D.W.,
Keirsey, D.M.,
Planning and Reasoning for Autonomous Vehicle Control,
IJIS(2), 1987, pp. 129-198.
BibRef
8700
Daily, M.J.,
Harris, J.G., and
Reiser, K.,
An Operational Perception System for Cross-Country Navigation,
DARPA88(568-575).
BibRef
8800
And:
CVPR88(794-802).
IEEE Abstract. IEEE Top Reference. The vision for the Hughes navigation system, range image mapping.
BibRef
Turk, M.A.,
Morgenthaler, D.G.,
Gremban, K.D., and
Marra, M.,
VITS--A Vision System for Autonomous Land Vehicle Navigation,
PAMI(10), No. 3, May 1988, pp. 342-361.
IEEE Abstract. IEEE Top Reference.
WWW Version.
Application, Navigation.
BibRef
8805
Szabo, S.,
Coombs, D.,
Herman, M.,
Camus, T.A.,
Liu, H.C.,
A Real-Time Computer Vision Platform for Mobile Robot Applications,
RealTimeImg(2), No. 5, October 1996, pp. 315-327.
9611
BibRef
Liaw, D.C.,
Chiang, H.H.,
Lee, T.T.,
Elucidating Vehicle Lateral Dynamics Using a Bifurcation Analysis,
ITS(8), No. 2, April 2007, pp. 195-207.
IEEE DOI Link
0706
BibRef
Wang, Z.P.,
Ge, S.S.,
Lee, T.H.,
Lai, X.C.,
Adaptive Smart Neural Network Tracking Control of Wheeled Mobile Robots,
ICARCV06(1-6).
IEEE DOI Link
0612
BibRef
Marino, F.,
Stella, E.,
Veneziani, N.,
Distante, A.,
Real time hardware architecture for visual robot navigation,
CIAP97(II: 93-100).
WWW Version.
9709
BibRef
Aubert, D., and
Thorpe, C.E.,
Color Image Processing for Navigation: Two Road Trackers,
CMU-RI-TR-90-09, April 1990.
Color.
BibRef
9004
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Road, Path Following Operators .