1988 Year End Report for Road Following at Carnegie Mellon

Abstract

This report describes the progress in vision and navigation for outdoor mobile robots at the Carnegie Mellon Robotics Institute during 1988. This research was primarily sponsored by DARPA as part of the Strategic Computing Initiative. Portions of this research were also partially supported by the National Science Foundation and Digital Corporation. In the four years of the project, we have built perception modules for following roads, detecting obstacles, mapping terrain, and recognizing objects. Together with our sister 'Integration' contract, we have built systems that drive mobile robots along roads and cross country, and have gained valuable insights into viable approaches for outdoor mobile robot research. This work is briefly summarized in Chapter 1 of this report. Specifically in 1988, we have completed one color vision system for finding roads, begun two others that handle difficult lighting and structured public roads and highways, and built a road-following system that uses active scanning with a laser rangefinder. We have used 3-D information to build elevation maps for cross-country path planning, and have used maps to retraverse a route. Progress in 1988 on these projects is described briefly in Chapter 1, and in more detail in the following chapters.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1989
Accession Number
ADA210594

Entities

People

  • Charles Thorpe
  • Takeo Kanade

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Cyber
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata Theory
  • Autonomous Navigation
  • Autonomous Systems
  • Change Detection
  • Computer Vision
  • Data Processing
  • Geometry
  • Guidance
  • Image Processing
  • Laser Rangefinding
  • Motion Planning
  • Pattern Recognition
  • Robot Navigation
  • Robots
  • Three Dimensional
  • Video Images

Fields of Study

  • Computer science

Readers

  • Facility/Structural Engineering.
  • Robotics and Automation.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Directed Energy