Comparative Run Time Analysis of LiDAR Point Cloud Processing with GPU and CPU

Anand, Bhaskar and Patil, Anuj G and Senapati, Mrinal and Barsaiyan, Vivek and Rajalakshmi, P. (2020) Comparative Run Time Analysis of LiDAR Point Cloud Processing with GPU and CPU. In: 2020 IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2020, 2 October 2020 - 4 October 2020.

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The Light detection and ranging (LiDAR) sensor is well known for its application in the field of surveying and autonomous vehicles. It is used for capturing the three-dimensional view of a scene. The output of the LiDAR sensor, known as point cloud, contains a large number of spatial points leading to bulky data. Any algorithm developed for this data consumes too much time, making it impractical to be used for real-time applications. Recently, Graphics Processing Units (GPUs) have been extensively used for performing the parallel operation. In this paper, we have quantitatively verified the usefulness of GPU for faster LiDAR point cloud data processing as compared to CPU. Algebraic operations were performed on LiDAR point cloud data on GPU, and the run time was found to decrease up to one-sixth as compared to Central Processing Unit (CPU).

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Algebraic operations; ITS applications; Lidar point cloud datum; Lidar point clouds; Light detection and ranging; Parallel operations; Real-time application; Run-time analysis;Algebra; Computer graphics; Data handling; Image coding; Optical radar; Program processors
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 13 Jul 2021 04:50
Last Modified: 18 Feb 2022 06:18
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