2020 IEEE International Conference on Consumer Electronics (ICCE) 2020
DOI: 10.1109/icce46568.2020.9043066
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High-Accuracy Mapping Design Based on Multi-view Images and 3D LiDAR Point Clouds

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Cited by 10 publications
(2 citation statements)
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“…As LiDAR is widely used, it is divided into Airborne LiDAR [6][7][8], Terrestrial LiDAR [9][10][11][12][13][14][15][16][17][18], Bathymetric LiDAR [19][20][21][22], and Mobile LiDAR, according to data specifications, data purpose, measurement range, etc. [1].…”
Section: Introductionmentioning
confidence: 99%
“…As LiDAR is widely used, it is divided into Airborne LiDAR [6][7][8], Terrestrial LiDAR [9][10][11][12][13][14][15][16][17][18], Bathymetric LiDAR [19][20][21][22], and Mobile LiDAR, according to data specifications, data purpose, measurement range, etc. [1].…”
Section: Introductionmentioning
confidence: 99%
“…Although image-based methods have achieved great success in object detection, the performance of 3D object detection falls behind the LiDAR-based (Light Detection And Ranging-based) approaches due to the inaccurate depth information. While the image-based depth maps can be converted to pseudo-LiDAR representation via transformation from the dense pixel depths of stereo imagery and back-projecting pixels into a 3D point cloud (Chen et al, 2020), the main challenge is the heavy computation load of the LiDAR-based detection.…”
Section: Introductionmentioning
confidence: 99%