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A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple SourcesAssessing Reliability for Ego-Lane Detection

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple... [After the previous chapter introduces our reliability integration concept for the ego-lane detection task, this chapter is devoted to presenting an efficient and appropriate metric to assess the reliability of the estimated ego-lane hypotheses. By that, this chapter is primarily based on the work of Nguyen et al. [NSX+17a]. For this purpose, we present a review of related performance measures and analyze their benefits and drawbacks.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple SourcesAssessing Reliability for Ego-Lane Detection

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Publisher
Springer Fachmedien Wiesbaden
Copyright
© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
ISBN
978-3-658-26948-7
Pages
41 –60
DOI
10.1007/978-3-658-26949-4_4
Publisher site
See Chapter on Publisher Site

Abstract

[After the previous chapter introduces our reliability integration concept for the ego-lane detection task, this chapter is devoted to presenting an efficient and appropriate metric to assess the reliability of the estimated ego-lane hypotheses. By that, this chapter is primarily based on the work of Nguyen et al. [NSX+17a]. For this purpose, we present a review of related performance measures and analyze their benefits and drawbacks.]

Published: Jun 15, 2019

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