The new generation system for the CMU Navlab

The Carnegie—Mellon University Navigational Laboratory (the CMU Navlab) project integrates sensing, image understanding, planning, control, and software systems architectures onto a self-contained mobile robot. The Navlab drives autonomously along a variety of roads (dirt, gravel unmarked bicycle paths, city streets, rural roads) and cross-country. This chapter describes the Navlab and its contributions in color vision, neural nets, 3-D perception, planning, and robot architectures.

[1]  Steven A. Shafer,et al.  The Driving Pipeline: A Driving Control Scheme for Mobile Robots , 1990 .

[2]  Martial Hebert,et al.  Vision and navigation for the Carnegie-Mellon Navlab , 1988 .

[3]  John R. Kender,et al.  Why direction-giving is hard: the complexity of using landmarks in one-dimensional navigation , 1989, IEEE Trans. Syst. Man Cybern..

[4]  Anthony Stentz.  The CODGER System for Mobile Robot Navigation , 1990 .

[5]  Matthew Turk,et al.  VITS-A Vision System for Autonomous Land Vehicle Navigation , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Kevin Dowling,et al.  NAVLAB: An Autonomous Navigation Testbed , 1990 .

[7]  Steven A. Shafer,et al.  An architecture for sensor fusion in a mobile robot , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[8]  Aviv Bergman,et al.  Noise-Tolerant Range Analysis for Autonomous Navigation , 1986, AAAI.

[9]  Tohru Ozaki,et al.  An Image Processing System For Autonomous Vehicle , 1990, Other Conferences.

[10]  Anthony Stentz,et al.  Mobile Robot Navigation: The CMU System , 1987, IEEE Expert.

[11]  Claude L. Fennema,et al.  Towards autonomous mobile robot navigation , 1989 .

[12]  Robert C. Bolles,et al.  Representation space: an approach to the integration of visual information , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Charles E. Thorpe,et al.  Color Vision For Road Following , 1989, Other Conferences.

[14]  Surender K. Kenue.  Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques -Part II: Template Matching Algorithms , 1990, Other Conferences.

[15]  C. Thorpe,et al.  Explicit models for robot road following , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[16]  R. Terry Dunlay,et al.  Obstacle avoidance perception processing for the autonomous land vehicle , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[17]  Bir Bhanu,et al.  Qualitative target motion detection and tracking , 1989 .

[18]  Charles E. Thorpe,et al.  Integrated mobile robot control , 1991 .

[19]  Ernst D. Dickmanns,et al.  Distributed Scene Analysis For Autonomous Road Vehicle Guidance , 1987, Other Conferences.

[20]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[21]  S. Chappell,et al.  A Simple World Model for an Autonomous Vehicle , 1989, Proceedings of the 6th International Symposium on Unmanned Untethered Submersible Technology,.

[22]  Anthony Stentz,et al.  Multiresolution Constraint Modeling For Mobile Robot Planning , 1990, Other Conferences.

[23]  William J. Wolfe,et al.  Mobile Robots IV , 1990 .

[24]  M.J. Daily,et al.  An operational perception system for cross-country navigation , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[25]  Nasser Kehtarnavaz,et al.  Establishing Collision-Zones Under Uncertainty , 1990, Other Conferences.

[26]  Dean A. Pomerleau,et al.  Neural Network Based Autonomous Navigation , 1990 .

[27]  Surender K Kenue,et al.  Lanelok: Detection Of Lane Boundaries And Vehicle Tracking Using Image-Processing Techniques - Part I: Hough-Transform, Region-Tracing And Correlation Algorithms , 1989, Other Conferences.

[28]  Larry S. Davis,et al.  A visual navigation system for autonomous land vehicles , 1987, IEEE J. Robotics Autom..

[29]  C. Thorpe,et al.  COLOR IMAGE PROCESSING FOR NAVIGATION: TWO ROAD TRACKERS , 1990 .