2023-07-04 22:00:00
3D technology, and in particular LiDAR, benefits from strong acceleration both at the software and hardware level. The autonomous car market, estimated at several billion euros, has brought to light dozens of players offering increasingly precise and less expensive solutions. At the same time, recent advances in big data analysis, particularly with artificial intelligence, open the door to a wide range of applications thanks to precise and large-scale processing.
This article reviews the advancements of this technology in order to help the reader to assess the relevance of LiDAR for an industrial project.
The article is organized as follows. Section 1 describes the different techniques for acquiring 3D information as well as the advantages and disadvantages of each of them. Section 2 focuses on LiDAR which is the most efficient and widespread technology today. The different configurations of the acquisition system, both from the point of view of its mounting on a fixed tripod or embedded in a vehicle, as well as from the point of view of the frequency used or the beam steering technology, are presented. Once the point cloud has been acquired, section 3 presents the steps for analyzing a processing chain that goes from the raw cloud to the final application, as well as the techniques used to extract the relevant information from the point clouds. . Finally, concrete examples of real applications are given in section 4.
Key points
Domain: Imaging and analysis techniques
Degree of technology diffusion: Growth
Technologies involved: LiDAR
Fields of application: Building Information Modeling (BIM), smart city, land management, modeling of industrial sites, linear infrastructures (railway, electricity, motorway, etc.).
Main French players:
Competitiveness clusters: Cap Digital, Systematic
Competence centers: IGN, CEREMA
Industriels : Trimble, The Cross Product, Yellowscan, Outsight, logiroad, Exwayz
Other actors in the world:
Geometric Computation Group, Stanford University.
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology.
UCL Department of Civil, Environmental and Geomatic Engineering, University College London.
Photogrammetry and Remote Sensing, ETH Zurich.
Photogrammetry & Robotics, Computer Vision, Autonomous Intelligent Systems, University of Bonn.
GeoTECH Group, University of Vigo.
Contact : [email protected], [email protected]
1688642704
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