A LiDAR System Simulator Using Parallel Raytracing and Validated by Comparison with a Real Sensor

The advances in 3D imaging and Computer Vision are allowing for a massive acquisition of data, especially in the form of point clouds. However, scanning with these sensors can be costly and time consuming, reducing the efficiency of certain procedures, like deep learning dataset generation and fores...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-03, Vol.1826 (1), p.12002
Main Authors: Gusmão, G F, Barbosa, C R H, Raposo, A B, de Oliveira, R C
Format: Article
Language:English
Subjects:
Computer vision
Lidar
Physics
Ray tracing
Sensors
Simulation
Simulators
Three dimensional imaging
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Summary:The advances in 3D imaging and Computer Vision are allowing for a massive acquisition of data, especially in the form of point clouds. However, scanning with these sensors can be costly and time consuming, reducing the efficiency of certain procedures, like deep learning dataset generation and forest canopy calculation. One trending solution is the creation of 3D imaging sensor simulators. This paper presents a simulator for light detection and ranging (LiDAR) systems with a parallel raytracing approach and a flexible scene creator. Finally, the simulator sensor is validated with a real LiDAR data.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1826/1/012002