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Proposal of a Segmentation Algorithm using Multi-Sensor Fusion for Autonomous Driving in Snowy Environments

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Please use this identifier to cite or link to this item:https://doi.org/10.14943/doctoral.k15179
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Title: Proposal of a Segmentation Algorithm using Multi-Sensor Fusion for Autonomous Driving in Snowy Environments
Other Titles: 積雪環境における自律走行を目的としたマルチセンサフュージョンによるセグメンテーションアルゴリズムの提案
Authors: VACHMANUS, SIRAWICH Browse this author
Issue Date: 26-Sep-2022
Publisher: Hokkaido University
Conffering University: 北海道大学
Degree Report Number: 甲第15179号
Degree Level: 博士
Degree Discipline: 工学
Examination Committee Members: (主査) 准教授 江丸 貴紀, 教授 東藤 正浩, 教授 梶原 逸朗, 教授 近野 敦 (情報科学研究院)
Degree Affiliation: 工学院(人間機械システムデザイン専攻)
(Relation)haspart: S. Vachmanus, A. A. Ravankar, T. Emaru and Y. Kobayashi, "Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios," in IEEE Sensors Journal, vol. 21, no. 15, pp. 16839-16851, 1 Aug.1, 2021, doi: 10.1109/JSEN.2021.3077029.
S. Vachmanus, A. A. Ravankar, T. Emaru and Y. Kobayashi, "An Evaluation of RGB-Thermal Image Segmentation for Snowy Road Environment," 2021 IEEE International Conference on Mechatronics and Automation (ICMA), 2021, pp. 224-230, doi: 10.1109/ICMA52036.2021.9512708.
S. Vachmanus, A. A. Ravankar, T. Emaru and Y. Kobayashi, "Semantic Segmentation for Road Surface Detection in Snowy Environment," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2020, pp. 1381-1386, doi: 10.23919/SICE48898.2020.9240402.
Type: theses (doctoral)
URI: http://hdl.handle.net/2115/87188
Appears in Collections:課程博士 (Doctorate by way of Advanced Course) > 工学院(Graduate School of Engineering)
学位論文 (Theses) > 博士 (工学)

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