Work

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

Year: 2018

Type: conference-paper

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.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1096/1/012035

Authors: A A Smagina, D A Shepelev, E I Ershov, A S Grigoryev

Institution: Institute for Information Transmission Problems

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

Funder: Russian Science Foundation