LiDAR Based System for Tracking Loader Crane Operator

Miądlicki, Karol; Saków, Mateusz

doi:10.1007/978-3-030-18715-6_34

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…The Lidar system, by measuring the time of flight of a rotating laser beam, can scan the 3D geometry of a large workspace and follow separated objects at the same time [19]- [22]. Apart from very expensive devices, this method provides a relatively low angular resolution of data points and makes difficulties in the recognition and distinction of small objects.…”

Section: B Related Workmentioning

confidence: 99%

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Stereovision Tracking System for Monitoring Loader Crane Tip Position

et al. 2020

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Section: B Related Workmentioning

confidence: 99%

“…Finally, it can be assumed that point P is the midpoint between p' and p" [19] and can be obtained using the following equation 6:…”

Section: Figure 10 the General Idea Of 3d Point Reconstruction By Pementioning

confidence: 99%

Stereovision Tracking System for Monitoring Loader Crane Tip Position

et al. 2020

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“…With the rapid development of laser technology, photoelectric control technology, and image processing technology, 3D imaging LiDAR is tending towards miniaturization, high resolution, high-speed, low cost, and so on. The traditional mechanical scanners (such as vlp-16 [11], LMS511 and Lux-4L/8L) are the earliest developed and the most mature technologies, and have been applied to autonomous driving concept vehicles such as Google and Baidu or industrial applications [12][13][14]. The core technology is to place the linear array laser and linear array detector on the speed-regulating motor, which can rotate at a high speed in one dimension to achieve panoramic imaging.…”

Section: Introductionmentioning

confidence: 99%

A Study of Correction to the Point Cloud Distortion Based on MEMS LiDAR System

Guo

Wang

et al. 2021

Applied Sciences

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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.

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