Vision-based road-following using a small autonomous aircraft Conference Paper uri icon

abstract

  • This paper describes the vision-based control of a small autonomous aircraft following a road. The computer vision system detects natural features of the scene and tracks the roadway in order to determine relative yaw and lateral displacement between the aircraft and the road. Using only the vision measurements and onboard inertial sensors, a control strategy stabilizes the aircraft and follows the road. The road detection and aircraft control strategies have been verified by hardware in the loop (MIL) simulations over long stretches (several kilometers) of straight roads and in conditions of up to 5 m/s of prevailing wind. Hardware experiments have also been conducted using a modified radio-controlled aircraft. Successful road following was demonstrated over an airfield runway under variable lighting and wind conditions. The development of vision-based control strategies for unmanned aerial vehicles (UAVs), such as the ones presented here, enables complex autonomous missions in environments where typical navigation sensor like GPS are unavailable.

name of conference

  • 2004 IEEE Aerospace

published proceedings

  • 2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720)

author list (cited authors)

  • Frew, E., McGee, T., ZuWhan Kim, .., Xiao Xiao, .., Jackson, S., Morimoto, M., ... Sengupta, R.

citation count

  • 116

complete list of authors

  • Frew, E||McGee, T||Jackson, S||Morimoto, M||Rathinam, S||Padial, J||Sengupta, R

publication date

  • January 2004

publisher