Static Environment Recognition Using Omni-camera from a Moving Vehicle - Robotics Institute Carnegie Mellon University

Static Environment Recognition Using Omni-camera from a Moving Vehicle

Teruko Yata, Chuck Thorpe, and Frank Dellaert
Tech. Report, CMU-RI-TR-02-12, Robotics Institute, Carnegie Mellon University, 2002

Abstract

This research aims to develop a sensor system which will be able to recognize city area environments from a moving vehicle. A city area which is a rather cluttered out-door man-made environment requires different recognition methods from indoor or highway environments. Toward this goal, we employed an omni-directional camera and vehicle odometry. Also, for better recognition in the total sensing system, estimated geometrical information is fed-back to image processing. In this paper, as our first progress report, we explain our approach of using omni-camera on a vehicle and setup of a platform, and show an experimental result of two dimensional static environment recognition from a moving vehicle.

BibTeX

@techreport{Yata-2002-16825,
author = {Teruko Yata and Chuck Thorpe and Frank Dellaert},
title = {Static Environment Recognition Using Omni-camera from a Moving Vehicle},
year = {2002},
month = {January},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-02-12},
}