Abstract
Active imaging technology can perceive the surrounding environment and obtain three-dimensional information of the target. Among them, light detection and ranging (LiDAR) imaging systems are one of the hottest topics in the field of photoelectric active imaging. Due to the small size, fast scanning speed, low power consumption, low price and strong anti-interference, a micro-electro-mechanical system (MEMS) based micro-scanning LiDAR is widely used in LiDAR imaging systems. However, the imaging point cloud will be distorted, which affects the accurate acquisition of target information. Therefore, in this article, we analyzed the causes of distortion initially, and then introduced a novel coordinate correction method, which can correct the point cloud distortion of the micro-scanning LiDAR system based on MEMS. We implemented our coordinate correction method in a two-dimensional MEMS LiDAR system to verify the feasibility. Experiments show that the point cloud distortion is basically corrected and the distortion is reduced by almost 72.5%. This method can provide an effective reference for the correction of point cloud distortion.
Highlights
In the field of active optical imaging, a target was exposed and the backscattered light was detected to extract the depth and spatial information for 3D image formation
The volume of mechanical scanners is relatively large and bulky, they need rather high-power consumption, and it is placed on the roof of the car, so the accuracy is very unstable; Solid-state laser 3D image sensor, the core technology is by waveguide or liquid crystal optical phased array device, through the electronic control technology to guide the laser pulse in any direction
The micro-electro-mechanical system (MEMS) mirror has been widely used in the Light detection and ranging (LiDAR) system due to its advantage including small size, fast scanning speed, low power consumption, low price, and strong anti-interference
Summary
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