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Radar Imager for Perception and Mapping in Outdoor Environments

  • Raphaël Rouveure
  • Patrice Faure
  • Marie-Odile Monod
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5807)

Abstract

Perception remains a challenge in outdoor environments. Overcoming the limitations of vision-based sensors, microwave radar presents considerable potential. Such a sensor so-called K2Pi has been designed for environment mapping. In order to build radar maps, an algorithm named R-SLAM has been developed. The global radar map is constructed through a data merging process, using map matching of successive radar image sequences. An occupancy grid approach is used to describe the environment. First results obtained in urban and natural environments are presented, which show the ability of the microwave radar to deal with extended environments.

Keywords

Synthetic Aperture Radar Image Outdoor Environment Radar Image Radar Cross Section Occupancy Grid 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Raphaël Rouveure
    • 1
  • Patrice Faure
    • 1
  • Marie-Odile Monod
    • 1
  1. 1.Cemagref, TSCF Research UnitAubièreFrance

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