Citation

Wei Wen, Chiew and Pu, Chuan Hsian (2025) Independently Identifying Noise Clusters in 2D LiDAR Scanning with Clustering Algorithms. Journal of Engineering Technology and Applied Physics, 7 (1). pp. 38-44. ISSN 26828383

Text View of Independently Identifying Noise Clusters in 2D LiDAR Scanning with Clustering Algorithms.pdf - Published Version Restricted to Repository staff only Download (3MB)

Abstract

Light Detection and Ranging (LiDAR) refers to a range imaging method for distance objects based on the principle of laser ranging. LiDAR environmental mappingtechnology is often highly praisedfor its precise mapping information with intricatefeatures for various detection or tracking based applications. The research proposes a novel method for independently identifying and filtering noise clusters in 2-Dimensional (2D)LiDAR scans based on 2 distinct clustering algorithms of K-Meansand Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Results show DBSCAN to be the better choice as it is more robust and resistance to noise and outliers in the dataset and is capable of identifying clusters of any shape making it more versatile. Furthermore,to address theissue ofdead zones present in LiDAR scanning, an innovativesolution based on interpolating the discontinuous spatial results of the LiDAR scanning result to further reconstruct a3-Dimensional(3D)viewing modelby stacking multiple copies of 2D LiDARscanningresults with varying elevation is demonstrated by the results of the study to be a viable economical alternative for 3D LiDAR mapping. Keywords—2D LiDAR Scanning, K-means, Density-Based Spatial Clustering of Applications with Noise(DBSCAN).I.INTRODUCTION In recent years, Light Detection and Ranging (LiDAR) technology has become essential across numerous industries, being highly valued for its versatility and accuracy in efficiently capturing detailed spatial data. The technology worksby constantly emitting a pulsed infrared laser from itssensor,while at the same timemeasuring the time it takes for the same exact beam to be received by the receiving sensorafter reflecting off a surface, such as a wall or occlusion in the scanning environment[1].LiDAR sensors are capable of making highly precise measurements for example,an independentresearch found that when studying terrain mapping using LiDAR technology on a location with a difference of elevation of 15cm, the LiDAR sensor was capable of attaining a result with localisation error as low as 8.14cm with a mapping error of only 8.43cm at a 4cm map resolution[2].LiDAR technology is shaping up tobecome an essential tool in various industries owing to its ability to accurately capture detailed spatial data.One prominent example is the natural resource management industry, LiDAR technology is ideal for accurately measure the terrain, vegetation density and canopy structure[3].Besides that, LiDAR technology is also inseparable from high precision industries, such as the construction and engineering industry. The ability to recreate accurate and detailed topologicalmaps is indispensable for engineers to assess slope stability and also detect hidden geological features[4].Following that, LiDAR technology can also be used to carry out vital topological surveys like floodplain mapping to help risk management agencies monitor and evaluate the risk of a flood occurring during monsoon season[5].Lastly, one of the more obscure industries that benefit from the advancement of LiDAR technology is the mining industry. With the help of LiDAR sensors to provide reliable elevation data and assist in performing infrastructure surveys engineers can now use the various information collected to optimise the tedious resource extraction process[6].

Item Type:	Article
Uncontrolled Keywords:	2D LiDAR Scanning
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK452-454.4 Electric apparatus and materials. Electric circuits. Electric networks
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	26 Jun 2025 00:56
Last Modified:	26 Jun 2025 00:56
URII:	http://shdl.mmu.edu.my/id/eprint/14052

Downloads

Edit (login required)