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高橋 識光2023 年 62 巻 5 号 p. 221
発行日: 2023年
公開日: 2024/11/01
ジャーナル フリーPDF形式でダウンロード (722K)
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松井 絢, 板津 真希, 今井 健太2023 年 62 巻 5 号 p. 222-223
発行日: 2023年
公開日: 2024/11/01
ジャーナル フリーPDF形式でダウンロード (19792K)
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窪田 諭2023 年 62 巻 5 号 p. 224-226
発行日: 2023年
公開日: 2024/11/01
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田嶋 誠司2023 年 62 巻 5 号 p. 227-230
発行日: 2023年
公開日: 2024/11/01
ジャーナル フリーThe handheld Hovermap ST is effective for surveying small-scale disaster sites. GCP is automatically detected and matched to the site coordinate. Although it is less accurate than TLS, it has sufficient performance to understand the situation on-site. In addition, SLAM is installed in MMS as a position information correction device and is used for surveying work.
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木村 法由2023 年 62 巻 5 号 p. 231-234
発行日: 2023年
公開日: 2024/11/01
ジャーナル フリーIn June 2022, a manual for public surveying using SLAM (Simultaneous Localization and Mapping) technology was published, and its use has been promoted. There is a wide variety of SLAMs, and even with the same sensor, the accuracy and apparent results can vary greatly depending on the method of measurement and processing. In this article, we will take one of these products, NavVis VLX2, as an example and introduce its measurement points, cautions, and features.
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石田 岳志, 橘川 雄樹2023 年 62 巻 5 号 p. 235-238
発行日: 2023年
公開日: 2024/11/01
ジャーナル フリーSimultaneous Localization and Mapping (SLAM) is a critical technology used in robotics that involves the real-time construction or updating of an environment map while simultaneously determining the precise position and orientation of the robot within that map using Lidar, cameras. Autonomous Driving systems require accurate ego-vehicle localization capabilities to navigate complex scenarios safely. For that reason, autonomous driving systems often utilize technologies based on SLAM. This article introduces a SLAM solution implemented in the well-known open-source software “Autoware” and an advanced camera-based localization approach, as well as the current challenges and possible solutions when processing in outdoor environments.
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