Stixel Based Scene Understanding for Autonomous Vehicles

Date published

2017-08-03

Free to read from

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Department

Type

Conference paper

ISSN

Format

Citation

Z. Wieszok, N. Aouf, O. Kechagias-Stamatis and L. Chermak, (2017) Stixel based scene understanding for autonomous vehicles, IEEE 14th International Conference on Networking, Sensing and Control (ICNSC), Calabria, Italy, 2017, pp. 43-48

Abstract

We propose a stereo vision based obstacle detection and scene segmentation algorithm appropriate for autonomous vehicles. Our algorithm is based on an innovative extension of the Stixel world, which neglects computing a disparity map. Ground plane and stixel distance estimation is improved by exploiting an online learned color model. Furthermore, the stixel height estimation is leveraged by an innovative joined membership scheme based on color and disparity information. Stixels are then used as an input for the semantic scene segmentation providing scene understanding, which can be further used as a comprehensive middle level representation for high-level object detectors.

Description

Software Description

Software Language

Github

Keywords

Stereo vision, Sensors

DOI

Rights

Attribution-NonCommercial 4.0 International

Relationships

Relationships

Supplements

Funder/s