Critical Assessment of an Enhanced Traffic Sign Detection Method Using Mobile LiDAR and INS Technologies-Reference-Cited by-同舟云学术

Critical Assessment of an Enhanced Traffic Sign Detection Method Using Mobile LiDAR and INS Technologies

Published:2015-05 Issue:5 Volume:141 Page:04014096
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Ai Chengbo¹,Tsai Yi-Chang James²

Affiliation:

1. Research Engineer I, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta, GA 30332.

2. Professor, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr., Atlanta, GA 30332; and Changjiang Scholar, Chang’an Univ., Xi’an, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000760

Reference30 articles.

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3. Brenner C. (2009). “Extraction of features from mobile laser scanning data for future driver assistance systems.” Advances in GIScience Springer Amsterdam Netherlands 25–42.

4. Brich S. C. (2002). “A determination of the appropriateness of Virginia’s retroreflective sign sheeting specification for fluorescent orange construction and maintenance signs.” Research Rep. Virginia Transportation Research Council (VTRC) 03-R5 Charlottesville VA.

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