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  2. There are several techniques used for 3D mapping:

    • Lidar scanning. 3D Lidar mapping is a technique that uses laser beams to measure distances to create a 3D model of the environment. 3D Lidar mapping can be used for urban planning, construction, and other applications requiring accurate and detailed environmental information.
    • Photogrammetry. ...
    • Structured light scanning. ...
    • Time-of-flight (TOF) imaging. ...
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  3. People also ask
    Can LiDAR be used for indoor mapping of 3D buildings?LiDAR techniques have been widely adopted for indoor mapping of 3D buildings owing to their high accuracy and good stability . A point cloud map generated by applying simultaneous localization and mapping (SLAM) technology using high-precision LiDAR may contain hundreds of millions of points, or even more, in a large scene.
    What is a LIDAR mapping system?Recent advancements in lidar mapping systems and their enabling technologies allow scientists and mapping professionals to examine natural and built environments across a wide range of scales with greater accuracy, precision, and flexibility than ever before.
    Can lidar data improve Slam-based 3D point clouds map reconstruction?In this paper, a novel 3D mapping method based only on the LiDAR data is proposed to enhance the performance of SLAM-based 3D point clouds map reconstruction. The proposed system consists of two main modules: localization module for rapid ego-motion estimation within the surrounding environment, and mapping module for accurate point clouds fusion.
    Can lidar and IMU-based simultaneous localization & mapping be used for 3D mapping?In this paper, we propose a comparison of open-source LiDAR and Inertial Measurement Unit (IMU)-based Simultaneous Localization and Mapping (SLAM) approaches for 3D robotic mapping. The analyzed algorithms are often exploited in mobile robotics for autonomous navigation but have not been evaluated in terms of 3D reconstruction yet.
    How is a 3D LIDAR based on semantic mapping?In the semantic mapping, a GPS and an IMU are integrated to estimate the odometry of the system, and subsequently, the point clouds measured from a 3D Lidar are registered by using this information. Furthermore, we use the latest CNN-based semantic segmentation to obtain semantic information on the surrounding environment.
    Is robotic mapping based on 3D LIDAR a new trend?The authors concluded that multi-robot collaborative mapping and multi-source fusion SLAM systems based on 3D LiDAR with deep learning will be new trends in the future. To the best of the authors’ knowledge, this is the first thorough survey of robotic mapping from the perspective of various LiDAR types and configurations.
     
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