Panacea: An Active Sensor Controller for the ALVINN Autonomous Driving System

Abstract

Panacea is a modular system which incorporates a steerable sensor into an existing neural network driving system, ALVINN. A fixed camera cannot see the road when it makes sharp bends. For a vision system the builds a map of the road, it is straightforward to point the camera down the road; but ALVINN directly outputs a steering command without generating an intermediate road representation. Insight from the training scheme used in ALVINN, however, provides an interpretation of the steering command in terms of the road geometry and appropriate camera pointing strategies. Tests on the Carnegie Mellon Navlab II with a steerable camera have shown that the system significantly improves ALVINN's performance, particularly in situations requiring sharp turns and quick responses.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA266964

Entities

People

  • Charles Thorpe
  • Dean Pomerleau
  • Rahul Sukthankar

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Cameras
  • Collision Avoidance
  • Compensation
  • Computing System Architectures
  • Contracts
  • Curvature
  • Detectors
  • Equations
  • Fixed Sensors
  • Images
  • Network Architecture
  • Neural Networks
  • Orientation (Direction)
  • Steering
  • Training
  • Video
  • Video Cameras

Readers

  • Computer Vision.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks