Title

Laser scanner and camera fusion for automatic obstacle classification in ADAS application

DOI

https://doi.org/10.1007/978-3-319-27753-0_13

Document Type

Conference Proceeding

Publication Date

1-1-2015

Publication Title

Communications in Computer and Information Science

Abstract

Reliability and accuracy are key in state of the art Driving Assistance Systems and Autonomous Driving applications. These applications make use of sensor fusion for trustable obstacle detection and classification in any meteorological and illumination condition. Laser scanner and camera are widely used as sensors to fuse because of its complementary capabilities. This paper presents some novel techniques for automatic and unattended data alignment between sensors, and Artificial Intelligence techniques are used to use laser point clouds not only for obstacle detection but also for classification.. Information fusion with classification information from both laser scanner and camera improves overall system reliability.

Volume

579

First Page

237

Last Page

249

ISSN

18650929

ISBN

9783319277523

Identifier

SCOPUS_ID:84955286159

Documento original

Compartir

COinS