Skip to Main content Skip to Navigation
Conference papers

Vehicle control using image cues recognition

Abstract : Since several years, researchers attempt to design algorithms able to control a vehicle by using computer vision. Several approaches are now available but more often the vehicle control is achieved in separate way from the perception task. Indeed the vehicle state is combined with perception parameters to feed the regulation task. This paper presents the reliability of an original approach which combines perception and control task. The system we have designed is able to recognize roadsides from images cues in different situations (highway, road, etc), and to compute the vehicle wheel angle and several location parameters too. In particular, we present the need for achieving a training stage (given either by a control law or by a experimented human driver) to provide a good control law. The algorithm behavior is then presented in simulated and real situations as well in order to prove the reliability of the approach on an agricultural vehicle.
Mots-clés : LASMEA CNRS CEMAGREF TSCF
Document type :
Conference papers
Complete list of metadata

https://hal.inrae.fr/hal-02580896
Contributor : Migration Irstea Publications <>
Submitted on : Thursday, May 14, 2020 - 8:44:12 PM
Last modification on : Wednesday, April 21, 2021 - 8:34:03 AM

Identifiers

  • HAL Id : hal-02580896, version 1
  • IRSTEA : PUB00010877

Collections

Citation

J. Laneurit, Romain Chapuis, Christian Cariou, R. Aufrere. Vehicle control using image cues recognition. 12th International Symposium on Measurement and Control in Robotics (ISMCR 2002), ENSIB de Bourges, 20-22 June 2002, 2002, France. pp.4. ⟨hal-02580896⟩

Share

Metrics

Record views

19