Motion and Visual Data-Driven Distant Object Localization for Field Reporting-Reference-Cited by-同舟云学术

Motion and Visual Data-Driven Distant Object Localization for Field Reporting

Published:2018-07 Issue:4 Volume:32 Page:04018020
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Ham Youngjib¹,Yoon Hyungchul²

Affiliation:

1. Assistant Professor, Dept. of Construction Science, Texas A&M Univ., 3137 TAMU, College Station, TX 77843.

2. Assistant Professor, School of Civil Engineering, Chungbuk National Univ., 1 Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28644, Republic of Korea (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000767

Reference24 articles.

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3. Image-Based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-Time Field Reporting Applications

4. Beauregard S. and Haas H. (2006). “Pedestrian dead reckoning: A basis for personal positioning.” Proc. 3rd Workshop on Positioning Navigation and Communication IEEE Piscataway NJ 27–36.

5. Synergism of INS and PDR in Self-Contained Pedestrian Tracking With a Miniature Sensor Module

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