Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator

Seunghyun Park; Daejin Park

doi:10.1109/ICCE-Taiwan55306.2022.9869189

Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator

Seunghyun Park
, Daejin Park

School of Electronics Engineering

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

3D image processing is an important technology that needs to be fundamentally studied in the current, constantly evolving artificial intelligence market. Among this technology, in the field of autonomous driving, the Lidar sensor provides a 3D spatial image of the surrounding. A high-performance processor is required to process a large amount of information quickly. However, because the power consumption increases as the performance increases, a low-power design is also an essential consideration [1]. In general, large amounts of computation can be sped up by parallelized data processing using the GPU. In this paper, to determine advantages parallelization has in terms of performance in processing 3D images, we designed an MCU equipped with parallelized memory and a multicore processor with Verilog as well as compared the processing speed and power with the existing single-core processor. We conducted an experiment to check the 3D image processed through the MCU. The data were imported into CloudCompare software, and the result data was visible. The experimental results confirmed that the designed quad-core MCU consumes 52% less energy than the single-core MCU as the number of operations increases.

Original language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	57-58
Number of pages	2
ISBN (Electronic)	9781665470506
DOIs	https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869189
State	Published - 2022
Event	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan, Province of China Duration: 6 Jul 2022 → 8 Jul 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Country/Territory	Taiwan, Province of China
City	Taipei
Period	6/07/22 → 8/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

3D image processing
CloudCompare
multicore processor
parallelized processing
Verilog

Access to Document

10.1109/ICCE-Taiwan55306.2022.9869189

Cite this

Park, S., & Park, D. (2022). Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 (pp. 57-58). (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869189

Park, Seunghyun ; Park, Daejin. / Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 57-58 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

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title = "Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator",

abstract = "3D image processing is an important technology that needs to be fundamentally studied in the current, constantly evolving artificial intelligence market. Among this technology, in the field of autonomous driving, the Lidar sensor provides a 3D spatial image of the surrounding. A high-performance processor is required to process a large amount of information quickly. However, because the power consumption increases as the performance increases, a low-power design is also an essential consideration [1]. In general, large amounts of computation can be sped up by parallelized data processing using the GPU. In this paper, to determine advantages parallelization has in terms of performance in processing 3D images, we designed an MCU equipped with parallelized memory and a multicore processor with Verilog as well as compared the processing speed and power with the existing single-core processor. We conducted an experiment to check the 3D image processed through the MCU. The data were imported into CloudCompare software, and the result data was visible. The experimental results confirmed that the designed quad-core MCU consumes 52\% less energy than the single-core MCU as the number of operations increases.",

keywords = "3D image processing, CloudCompare, multicore processor, parallelized processing, Verilog",

author = "Seunghyun Park and Daejin Park",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 ; Conference date: 06-07-2022 Through 08-07-2022",

year = "2022",

doi = "10.1109/ICCE-Taiwan55306.2022.9869189",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

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}

Park, S & Park, D 2022, Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator. in Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Institute of Electrical and Electronics Engineers Inc., pp. 57-58, 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Taipei, Taiwan, Province of China, 6/07/22. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869189

Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator. / Park, Seunghyun; Park, Daejin.
Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 57-58 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator

AU - Park, Seunghyun

AU - Park, Daejin

PY - 2022

Y1 - 2022

N2 - 3D image processing is an important technology that needs to be fundamentally studied in the current, constantly evolving artificial intelligence market. Among this technology, in the field of autonomous driving, the Lidar sensor provides a 3D spatial image of the surrounding. A high-performance processor is required to process a large amount of information quickly. However, because the power consumption increases as the performance increases, a low-power design is also an essential consideration [1]. In general, large amounts of computation can be sped up by parallelized data processing using the GPU. In this paper, to determine advantages parallelization has in terms of performance in processing 3D images, we designed an MCU equipped with parallelized memory and a multicore processor with Verilog as well as compared the processing speed and power with the existing single-core processor. We conducted an experiment to check the 3D image processed through the MCU. The data were imported into CloudCompare software, and the result data was visible. The experimental results confirmed that the designed quad-core MCU consumes 52% less energy than the single-core MCU as the number of operations increases.

AB - 3D image processing is an important technology that needs to be fundamentally studied in the current, constantly evolving artificial intelligence market. Among this technology, in the field of autonomous driving, the Lidar sensor provides a 3D spatial image of the surrounding. A high-performance processor is required to process a large amount of information quickly. However, because the power consumption increases as the performance increases, a low-power design is also an essential consideration [1]. In general, large amounts of computation can be sped up by parallelized data processing using the GPU. In this paper, to determine advantages parallelization has in terms of performance in processing 3D images, we designed an MCU equipped with parallelized memory and a multicore processor with Verilog as well as compared the processing speed and power with the existing single-core processor. We conducted an experiment to check the 3D image processed through the MCU. The data were imported into CloudCompare software, and the result data was visible. The experimental results confirmed that the designed quad-core MCU consumes 52% less energy than the single-core MCU as the number of operations increases.

KW - 3D image processing

KW - CloudCompare

KW - multicore processor

KW - parallelized processing

KW - Verilog

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U2 - 10.1109/ICCE-Taiwan55306.2022.9869189

DO - 10.1109/ICCE-Taiwan55306.2022.9869189

M3 - Conference contribution

AN - SCOPUS:85138727442

T3 - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

SP - 57

EP - 58

BT - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Y2 - 6 July 2022 through 8 July 2022

ER -

Park S, Park D. Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator. In Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 57-58. (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). doi: 10.1109/ICCE-Taiwan55306.2022.9869189

Low-Power LiDAR Signal Processor with Point-of-Cloud Transformation Accelerator

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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