Software Optimization of Vision-Based Around View Monitoring System on Embedded Platform

Authors

  • N.H. Mahamud Centre for Unmanned Technologies (CUTe), Kulliyyah of Engineering, International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia
  • Z. Zainal Abidin
  • H.F. Mohd Zaki
  • Y. Mohd Mustafah
  • W. Sediono
  • H. Abd Rahman
  • S. Hanizam
  • M.A.A. Abdul Matin
  • N.S. Ahmad Rudin

DOI:

https://doi.org/10.56381/jsaem.v4i1.52

Keywords:

Embedded platform, image processing, software optimization, Advanced Driver Safety System (ADAS), vision-based ADAS, AVM system

Abstract

Image processing algorithm requires high computational power. Optimizing the algorithm to be run on an embedded platform is very critical as the platform provides limited computational resources. This research focused on optimizing and implementing a vision-based Around View Monitoring (AVM) system running on two embedded boards of Cortex-A7 quad and Cortex-A15 quad-core, and desktop platform of Intel i7 core. This paper presented a study on several techniques of software optimization that is removing code redundancy and multi-threading. The two methods improve the total processing time of the AVM system by 45% on ARM Cortex-A15 and 47% on ARM Cortex-A7.

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Published

01/01/2020

How to Cite

[1]
N. Mahamud, “Software Optimization of Vision-Based Around View Monitoring System on Embedded Platform”, JSAEM, vol. 4, no. 1, pp. 73–81, Jan. 2020.

Issue

Vol. 4 No. 1 (2020): Jan 2020

Section

Original Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.