The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2020 · 12 citations · 8 references
ComputingGeoinformaticsGeomaticsMobile ComputingSurveyingMappingMobile SensingPhotogrammetryPoint Cloud ProcessingReal-time MappingAccuracyIndoor 3D MappingIndoor Mobile MappingMobile MappingMobile Mapping SystemsReal-time ProcessingRemote Data Acquisition
Abstract. With their high recording rate of hundreds of thousands of points acquired per second, speed of execution and a remote acquisition mode, SLAM based mobile mapping systems (MMS) are a very powerful solution for capturing 3D point clouds in real time, simply by walking in the area of interest. Regarding indoor surveys, these MMS have been integrated in handheld or backpack solutions and become fast scanning sensors. Despite their advantages, the geometric accuracy of 3D point clouds guaranteed with these sensors is lower than the one reachable with static TLS. In this paper the effectiveness of two recent mobile mapping systems namely the GeoSLAM ZEB-REVO RT and the more recent GreenValley LiBackPack C50 is investigated for indoor surveys. In order to perform a reliable assessment study, several datasets produced with each sensor are compared to the high-cost georeferenced point cloud obtained with static laser scanning target-based technique.
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Investigation of indoor and outdoor performance of two portable mobile mapping systems
Erica Nocerino, Fabio Menna, Fabio Remondino et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017 · 110 citations
Computing, Geoinformatics, Geographic Information Systems +15
SLAM in a dynamic large outdoor environment using a laser scanner
Huijing Zhao, Masaki Chiba, Ryosuke Shibasaki et al. · 2008 · 73 citations