Terrain surface classification with a control mode update rule using a 2D laser stripe-based structured light sensor

  • Authors:
  • Liang Lu;Camilo Ordonez;Emmanuel G. Collins, Jr.;Eric Coyle;Dushyant Palejiya

  • Affiliations:
  • GE (China) Research and Development Center Co. Ltd, Shanghai, PR China;Department of Mechanical Engineering, FAMU-FSU College of Engineering, 2525 Pottsdamer Street, Tallahassee, FL 32301, USA;Department of Mechanical Engineering, FAMU-FSU College of Engineering, 2525 Pottsdamer Street, Tallahassee, FL 32301, USA;Department of Mechanical Engineering, FAMU-FSU College of Engineering, 2525 Pottsdamer Street, Tallahassee, FL 32301, USA;Department of Mechanical Engineering, FAMU-FSU College of Engineering, 2525 Pottsdamer Street, Tallahassee, FL 32301, USA

  • Venue:
  • Robotics and Autonomous Systems
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is necessary for autonomous ground vehicles operating on outdoor terrains to identify and adapt to different terrains in order to improve their mobility and safety. This work presents a classification scheme to identify outdoor terrains and an update rule to reduce the possibility of implementing control modes based on classification inaccuracies. A laser stripe-based structured light sensor, which has a laser and infrared camera component, is used to sense terrains directly in front of the vehicle (