Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148385
Title: Wide-baseline obstacle mapping using monocular camera for unmanned surface vehicle
Authors: Chen, Jiaying
Wang, Han
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Chen, J. & Wang, H. (2019). Wide-baseline obstacle mapping using monocular camera for unmanned surface vehicle. 2019 IEEE 15th International Conference on Control and Automation (ICCA), 512-517. https://dx.doi.org/10.1109/ICCA.2019.8899983
Project: MRP1B 
Conference: 2019 IEEE 15th International Conference on Control and Automation (ICCA)
Abstract: In this paper, we applied a static obstacle mapping system for USV. This system consists of a monocular camera, GPS, and compass. An obstacle map can be built while the USV is traveling. To increase the accuracy of the system, we apply feature matching after image transformation and introduce a threshold to filter motion parallax computation results. Moreover, we collect radar data as ground truth to evaluate the system performance and accuracy. According to the results of our experiments, this system can map the static obstacles with high accuracy and efficiency.
URI: https://hdl.handle.net/10356/148385
ISSN: 1948-3457
DOI: 10.1109/ICCA.2019.8899983
Schools: School of Electrical and Electronic Engineering 
Research Centres: ST Engineering-NTU Corporate Lab 
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICCA.2019.8899983
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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