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arXiv · 1809.02228

Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis

A. A. Smagina·D. A. Shepelev·E. I. Ershov·A. S. Grigoryev
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Abstract

In this work we present a method for performance evaluation of stereo vision based obstacle detection techniques that takes into account the specifics of road situation analysis to minimize the effort required to prepare a test dataset. This approach has been designed to be implemented in systems such as self-driving cars or driver assistance and can also be used as problem-oriented quality criterion for evaluation of stereo vision algorithms.

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A. A. Smagina, D. A. Shepelev, E. I. Ershov, A. S. Grigoryev. 2018-09-06. Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis. https://doi.org/10.1088/1742-6596/1096/1/012035

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