Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple SourcesRelated Work

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple... [In this chapter, we present related work toward ego-lane and road detection with respect to the employed information sources and also their fusion strategies. By that, we recognize the necessity of the reliability aspect for the combination of information from various sources as a significant research gap. Therefore, the following sections review different approaches to describe, assess and incorporate reliability concerning the multi-source fusion problem.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple SourcesRelated Work

Loading next page...
 
/lp/springer-journals/a-reliability-aware-fusion-concept-toward-robust-ego-lane-estimation-0uZyMQ09qP

References (0)

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Springer Fachmedien Wiesbaden
Copyright
© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
ISBN
978-3-658-26948-7
Pages
9 –26
DOI
10.1007/978-3-658-26949-4_2
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we present related work toward ego-lane and road detection with respect to the employed information sources and also their fusion strategies. By that, we recognize the necessity of the reliability aspect for the combination of information from various sources as a significant research gap. Therefore, the following sections review different approaches to describe, assess and incorporate reliability concerning the multi-source fusion problem.]

Published: Jun 15, 2019

There are no references for this article.