Mobile Mapping Technologies
Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has e...
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| Year of Publication: | 2019 |
| Language: | English |
| Physical Description: | 1 electronic resource (334 p.) |
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| 100 | 1 | |a Chiang, Kai-Wei |4 auth | |
| 245 | 1 | 0 | |a Mobile Mapping Technologies |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2019 | ||
| 300 | |a 1 electronic resource (334 p.) | ||
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| 520 | |a Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has expanded their application fields from the civil engineering to a broader range (industry, emergency response, cultural heritage...), which is constantly widening. This increased number of needs, some of them specially challenging, is pushing the Scientific Community, as well as companies, towards the development of innovative solutions, ranging from new hardware / open source software approaches and integration with other devices, up to the adoption of artificial intelligence methods for the automatic extraction of salient features and quality assessment for performance verification The aim of the present book is to cover the most relevant topics and trends in Mobile Mapping Technology, and also to introduce the new tendencies of this new paradigm of geospatial science. | ||
| 546 | |a English | ||
| 653 | |a LRF | ||
| 653 | |a smartphone | ||
| 653 | |a unmanned vehicle | ||
| 653 | |a sensor fusion | ||
| 653 | |a 2D laser scanner | ||
| 653 | |a semantic enrichment | ||
| 653 | |a Vitis vinifera | ||
| 653 | |a indoor scenes | ||
| 653 | |a terrestrial laser scanning | ||
| 653 | |a vine size | ||
| 653 | |a quadric fitting | ||
| 653 | |a multi-group-step L-M optimization | ||
| 653 | |a grammar | ||
| 653 | |a MLS | ||
| 653 | |a indoor topological localization | ||
| 653 | |a trajectory fusion | ||
| 653 | |a second order hidden Markov model | ||
| 653 | |a room type tagging | ||
| 653 | |a fingerprinting | ||
| 653 | |a restoration | ||
| 653 | |a laser scanning | ||
| 653 | |a map management | ||
| 653 | |a Lidar localization system | ||
| 653 | |a point clouds | ||
| 653 | |a binary vocabulary | ||
| 653 | |a self-calibration | ||
| 653 | |a 3D processing | ||
| 653 | |a cultural heritage | ||
| 653 | |a encoder | ||
| 653 | |a category matching | ||
| 653 | |a indoor mapping | ||
| 653 | |a convolutional neural network (CNN) | ||
| 653 | |a tunnel cross section | ||
| 653 | |a visual positioning | ||
| 653 | |a enhanced RANSAC | ||
| 653 | |a segmentation-based feature extraction | ||
| 653 | |a image retrieval | ||
| 653 | |a handheld | ||
| 653 | |a crowdsourcing trajectory | ||
| 653 | |a visual landmark sequence | ||
| 653 | |a indoor localization | ||
| 653 | |a mobile mapping | ||
| 653 | |a rapid relocation | ||
| 653 | |a sensors configurations | ||
| 653 | |a precision agriculture | ||
| 653 | |a 3D digitalization | ||
| 653 | |a mobile laser scanning | ||
| 653 | |a robust statistical analysis | ||
| 653 | |a plant vigor | ||
| 653 | |a motion estimation | ||
| 653 | |a visual simultaneous localization and mapping | ||
| 653 | |a dynamic environment | ||
| 653 | |a Bayesian inference | ||
| 653 | |a automated database construction | ||
| 653 | |a portable mobile mapping system | ||
| 653 | |a SLAM | ||
| 653 | |a small-scale vocabulary | ||
| 653 | |a ORB-SLAM2 | ||
| 653 | |a LiDAR | ||
| 653 | |a IMMS | ||
| 653 | |a point cloud | ||
| 653 | |a optical sensors | ||
| 653 | |a tunnel central axis | ||
| 653 | |a constrained nonlinear least-squares problem | ||
| 653 | |a 3D point clouds | ||
| 653 | |a wearable mobile laser system | ||
| 653 | |a geometric features | ||
| 653 | |a 2D laser range-finder | ||
| 653 | |a RGB-D camera | ||
| 653 | |a OctoMap | ||
| 776 | |z 3-03928-018-X | ||
| 700 | 1 | |a Rodríguez-Gonzálvez, Pablo |4 auth | |
| 700 | 1 | |a Toschi, Isabella |4 auth | |
| 700 | 1 | |a Nocerino, Erica |4 auth | |
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:47:24 Europe/Vienna |f system |c marc21 |a 2020-02-01 22:26:53 Europe/Vienna |g false | ||
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