arXiv:1310.0310
A Novel Georeferenced Dataset for Stereo Visual Odometry
원문 초록
In this work, we present a novel dataset for assessing the accuracy of stereo visual odometry. The dataset has been acquired by a small-baseline stereo rig mounted on the top of a moving car. The groundtruth is supplied by a consumer grade GPS device without IMU. Synchronization and alignment between GPS readings and stereo frames are recovered after the acquisition. We show that the attained groundtruth accuracy allows to draw useful conclusions in practice. The presented experiments address influence of camera calibration, baseline distance and zero-disparity features to the achieved reconstruction performance.
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MUSt3R: Multi-view Network for Stereo 3D Reconstruction
ZeroVO: Visual Odometry with Minimal Assumptions
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Camera Calibration via Circular Patterns: A Comprehensive Framework with Measurement Uncertainty and Unbiased Projection Model
RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
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