Stereo Visual Odometry

Abstract

This paper presents an implementation of a visual odometry system as described by David Nister\ud using Videre Design's STH-DCSG Firewire stereo video head, which runs on an AMD Athlon-based\ud workstation with 1 GB RAM. The system tracks the 3D position of a calibrated stereo head\ud as it moves through the environment. Harris corner features are identified in the video stream,\ud and are then matched and triangulated into 3D points. A RANSAC implementation with a quaternion motion estimation method as its hypothesis generator, is used for pose estimation.\ud The system is able to estimate movement in the camera's x and y planes with a maximum error\ud of 12cm for a duration of a minute or longer: A persistent drift in the z dimension (along the\ud camera optical ray) prevents the extraction of useful movement data along that axis

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