Motion estimation on homogenous surface for around view monitoring system
Around View Monitoring (AVM) system uses multiple input cameras mounted on different positions of a vehicle to display 360° bird-eye-view around the vehicle that is not readily visible to the driver. The development of this system will contribute to the reduction of parking accidents by monitoring i...
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Institute of Electrical and Electronics Engineers Inc.
2020
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my.iium.irep.784022020-07-15T03:37:38Z http://irep.iium.edu.my/78402/ Motion estimation on homogenous surface for around view monitoring system Hanizam, Syahirah Nik Hashim, Nik Nur Wahidah Zainal Abidin, Zulkifli Mohd Zaki, Hasan Firdaus Abdul Rahman, Hasbullah Mahamud, Nurul Hidayah QA75 Electronic computers. Computer science Around View Monitoring (AVM) system uses multiple input cameras mounted on different positions of a vehicle to display 360° bird-eye-view around the vehicle that is not readily visible to the driver. The development of this system will contribute to the reduction of parking accidents by monitoring its surroundings, detecting lanes and identifying obstacles. With AVM, we can significantly decrease the number of minor accidents. AVM will not only be used for parking assistance but can also assist navigation in the narrow path area. Conventional AVM systems developed in the market using four or six cameras and requires an additional sensor for detection in order to minimise stitching error or to reduce the time to calibrate the output display image. The procedure is time-consuming and increases the cost of development. We propose to develop two ultra-wide-angle cameras located on the front and rear vehicle integrated with the motion estimation (ME) algorithm to produce a parking bird eye view and forward/backward trajectory lines. From our ablative analysis, optical flow is not suitable to be used for real-time ADAS systems as it fails at least 25.5% of the time. However, block matching algorithm based on normalized cross-correlation (CCORR NORMED) and normalised correlation coefficient (CCOEFF NORMED) were able to detect all templates correctly with 0% of false detection on our dataset. Institute of Electrical and Electronics Engineers Inc. 2020-01-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/78402/1/78402_Motion%20Estimation%20on%20Homogenous%20Surface%20_complete.pdf application/pdf en http://irep.iium.edu.my/78402/2/78402_Motion%20Estimation%20on%20Homogenous%20Surface%20_scopus.pdf Hanizam, Syahirah and Nik Hashim, Nik Nur Wahidah and Zainal Abidin, Zulkifli and Mohd Zaki, Hasan Firdaus and Abdul Rahman, Hasbullah and Mahamud, Nurul Hidayah (2020) Motion estimation on homogenous surface for around view monitoring system. In: "7th International Conference on Mechatronics Engineering, ICOM 2019", 30 - 31 Oct. 2019, Putrajaya, Malaysia. https://ieeexplore.ieee.org/abstract/document/8952062/keywords#keywords 10.1109/ICOM47790.2019.8952062 |
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QA75 Electronic computers. Computer science Hanizam, Syahirah Nik Hashim, Nik Nur Wahidah Zainal Abidin, Zulkifli Mohd Zaki, Hasan Firdaus Abdul Rahman, Hasbullah Mahamud, Nurul Hidayah Motion estimation on homogenous surface for around view monitoring system |
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Around View Monitoring (AVM) system uses multiple input cameras mounted on different positions of a vehicle to display 360° bird-eye-view around the vehicle that is not readily visible to the driver. The development of this system will contribute to the reduction of parking accidents by monitoring its surroundings, detecting lanes and identifying obstacles. With AVM, we can significantly decrease the number of minor accidents. AVM will not only be used for parking assistance but can also assist navigation in the narrow path area. Conventional AVM systems developed in the market using four or six cameras and requires an additional sensor for detection in order to minimise stitching error or to reduce the time to calibrate the output display image. The procedure is time-consuming and increases the cost of development. We propose to develop two ultra-wide-angle cameras located on the front and rear vehicle integrated with the motion estimation (ME) algorithm to produce a parking bird eye view and forward/backward trajectory lines. From our ablative analysis, optical flow is not suitable to be used for real-time ADAS systems as it fails at least 25.5% of the time. However, block matching algorithm based on normalized cross-correlation (CCORR NORMED) and normalised correlation coefficient (CCOEFF NORMED) were able to detect all templates correctly with 0% of false detection on our dataset. |
format |
Conference or Workshop Item |
author |
Hanizam, Syahirah Nik Hashim, Nik Nur Wahidah Zainal Abidin, Zulkifli Mohd Zaki, Hasan Firdaus Abdul Rahman, Hasbullah Mahamud, Nurul Hidayah |
author_facet |
Hanizam, Syahirah Nik Hashim, Nik Nur Wahidah Zainal Abidin, Zulkifli Mohd Zaki, Hasan Firdaus Abdul Rahman, Hasbullah Mahamud, Nurul Hidayah |
author_sort |
Hanizam, Syahirah |
title |
Motion estimation on homogenous surface for around view monitoring system |
title_short |
Motion estimation on homogenous surface for around view monitoring system |
title_full |
Motion estimation on homogenous surface for around view monitoring system |
title_fullStr |
Motion estimation on homogenous surface for around view monitoring system |
title_full_unstemmed |
Motion estimation on homogenous surface for around view monitoring system |
title_sort |
motion estimation on homogenous surface for around view monitoring system |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2020 |
url |
http://irep.iium.edu.my/78402/1/78402_Motion%20Estimation%20on%20Homogenous%20Surface%20_complete.pdf http://irep.iium.edu.my/78402/2/78402_Motion%20Estimation%20on%20Homogenous%20Surface%20_scopus.pdf http://irep.iium.edu.my/78402/ https://ieeexplore.ieee.org/abstract/document/8952062/keywords#keywords |
_version_ |
1672610155344166912 |
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13.211869 |