Courtney, J.W.,
Magee, M.J.,
Aggarwal, J.K.,
Robot Guidance Using Computer Vision,
PR(17), No. 6, 1984, pp. 585-592.
Elsevier DOI
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.
PS File.
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 DOI
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 DOI
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.
Elsevier DOI 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.
DOI Link
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 DOI
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.
0412
BibRef
Zhang, Z.,
Weiss, R., and
Riseman, E.M.,
Feature Matching in 360^o Waveforms for Robot Navigation,
CVPR91(742-743).
IEEE DOI
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 DOI
BibRef
9306
Earlier:
Positional Estimation of a Mobile Robot Using Edge Visibility Regions,
CVPR91(714-715).
IEEE DOI
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
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 DOI 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 DOI
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
0706
BibRef
Bai, L.[Li],
Wang, Y.[Yan],
A Sensor Fusion Framework Using Multiple Particle Filters for
Video-Based Navigation,
ITS(11), No. 2, June 2010, pp. 348-358.
IEEE DOI
1007
BibRef
Bai, L.[Li],
Wang, Y.[Yan],
Road tracking using particle filters with partition sampling and
auxiliary variables,
CVIU(115), No. 10, October 2011, pp. 1463-1471.
Elsevier DOI
1108
Road tracking; Particle filter; Partition sampling
BibRef
de Cristóforis, P.[Pablo],
Nitsche, M.[Matias],
Krajník, T.[Tomáš],
Pire, T.[Taihú],
Mejail, M.[Marta],
Hybrid vision-based navigation for mobile robots in mixed
indoor/outdoor environments,
PRL(53), No. 1, 2015, pp. 118-128.
Elsevier DOI
1502
Vision-based navigation
BibRef
Cira, C.I.[Calimanut-Ionut],
Kada, M.[Martin],
Manso-Callejo, M.Á.[Miguel-Ángel],
Alcarria, R.[Ramón],
Sanchez, B.B.[Borja Bordel],
Improving Road Surface Area Extraction via Semantic Segmentation with
Conditional Generative Learning for Deep Inpainting Operations,
IJGI(11), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Zhang, Y.G.[Yi-Gong],
Xie, J.[Jin],
Álvarez, J.M.[José M.],
Xu, C.Z.[Cheng-Zhong],
Yang, J.[Jian],
Kong, H.[Hui],
Capitalizing on RGB-FIR Hybrid Imaging for Road Detection,
ITS(23), No. 8, August 2022, pp. 13819-13834.
IEEE DOI
2208
Roads, Sensors, Finite impulse response filters, Laser radar,
Cameras, Feature extraction, RGB-FIR fusion, road detection, CNN,
hierarchical cross model
BibRef
Cira, C.I.[Calimanut-Ionut],
Manso-Callejo, M.Á.[Miguel-Ángel],
Alcarria, R.[Ramon],
Iturrioz, T.[Teresa],
Arranz-Justel, J.J.[José-Juan],
Insights into the Effects of Tile Size and Tile Overlap Levels on
Semantic Segmentation Models Trained for Road Surface Area Extraction
from Aerial Orthophotography,
RS(16), No. 16, 2024, pp. 2954.
DOI Link
2408
BibRef
Lee, Y.J.[Yong Jun],
Pae, D.S.[Dong Sung],
Choi, H.D.[Hyun Duck],
Lim, M.T.[Myo Taeg],
Extended Dissipative Output-Feedback Controller for Autonomous
Vehicle Path-Following With Steering Delays,
ITS(25), No. 9, September 2024, pp. 11143-11155.
IEEE DOI
2409
Delays, Autonomous vehicles, Vehicle dynamics, Tires,
Symmetric matrices, Sensors, Linear matrix inequalities,
steering delay
BibRef
Fan, X.Q.[Xue-Qiang],
Lin, B.[Bing],
Guo, Z.Y.[Zhong-Yi],
Infrared Polarization-Empowered Full-Time Road Detection via
Lightweight Multi-Pathway Collaborative 2D/3D Convolutional Networks,
ITS(25), No. 9, September 2024, pp. 12762-12775.
IEEE DOI Code:
WWW Link.
2409
Roads, Feature extraction,
Convolutional neural networks, Semantic segmentation,
collaborative 2D/3D convolutional networks
BibRef
Carton, F.[Florence],
Filliat, D.[David],
Rabarisoa, J.[Jaonary],
Pham, Q.C.[Quoc Cuong],
Using Semantic Information to Improve Generalization of Reinforcement
Learning Policies for Autonomous Driving,
WACVW21(144-151) Autonomous Vehicle Vision
IEEE DOI
2105
Training, Semantics, Reinforcement learning, Task analysis, Autonomous vehicles
BibRef
Song, K.T.,
Tai, J.C.,
Image-Based Turn Ratio Measurement at Road Intersection,
ICIP05(I: 1077-1080).
IEEE DOI
0512
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
0612
BibRef
Marino, F.,
Stella, E.,
Veneziani, N.,
Distante, A.,
Real time hardware architecture for visual robot navigation,
CIAP97(II: 93-100).
Springer DOI
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 .