On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes

The dramatic surge in the development of autonomous vehicles has generated a need for, among others, improving detection and ranging accuracy. Various technologies and techniques have been proposed and adopted for autonomous vehicles, such as computer vision, in conjunction with machine learning and...

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Main Authors: Suresh, K., Jeoti, V., Drieberg, M., Iqbal, A.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073205413&doi=10.1109%2fICSCC.2019.8843646&partnerID=40&md5=0019824a182558d34e8cedba007eac10
http://eprints.utp.edu.my/23502/
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spelling my.utp.eprints.235022021-08-19T07:44:16Z On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes Suresh, K. Jeoti, V. Drieberg, M. Iqbal, A. The dramatic surge in the development of autonomous vehicles has generated a need for, among others, improving detection and ranging accuracy. Various technologies and techniques have been proposed and adopted for autonomous vehicles, such as computer vision, in conjunction with machine learning and deep learning-neural network. Despite many attempts to improve the accuracy of detection and ranging, the computational load in training the neural network due to the requirement of massive amount of data had increased to a significant extent, along with the cost of operation. Light Detection and Ranging (LiDAR) systems are a new approach to improve the detection and ranging accuracy. However, LED Detection and Ranging (LEDDAR) based systems have not been explored so far. Herein, we present an analysis of the method of detection and ranging using LED and determine its performance for different number of users using Unipolar Optical Code Division Multiple Access (OCDMA) Codes. This was done using probability of error vs. Signal-to-Noise Ratio (SNR) and Distance (in m) using misdetection and false alarm analysis for a given transmitted power of LED obeying the current standards. The method of LED based beamforming by deploying multiple LED's in an array is proposed to improve the detection and ranging accuracy. Finally, the results show that OCDMA based OOC codes show a low probability of error for a given SNR and Distance and outperformed other OCDMA techniques such as prime codes and hence indicate that OOC codes will be an optimal choice that can be coded in LED's for the use in self driving cars. © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073205413&doi=10.1109%2fICSCC.2019.8843646&partnerID=40&md5=0019824a182558d34e8cedba007eac10 Suresh, K. and Jeoti, V. and Drieberg, M. and Iqbal, A. (2019) On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes. In: UNSPECIFIED. http://eprints.utp.edu.my/23502/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The dramatic surge in the development of autonomous vehicles has generated a need for, among others, improving detection and ranging accuracy. Various technologies and techniques have been proposed and adopted for autonomous vehicles, such as computer vision, in conjunction with machine learning and deep learning-neural network. Despite many attempts to improve the accuracy of detection and ranging, the computational load in training the neural network due to the requirement of massive amount of data had increased to a significant extent, along with the cost of operation. Light Detection and Ranging (LiDAR) systems are a new approach to improve the detection and ranging accuracy. However, LED Detection and Ranging (LEDDAR) based systems have not been explored so far. Herein, we present an analysis of the method of detection and ranging using LED and determine its performance for different number of users using Unipolar Optical Code Division Multiple Access (OCDMA) Codes. This was done using probability of error vs. Signal-to-Noise Ratio (SNR) and Distance (in m) using misdetection and false alarm analysis for a given transmitted power of LED obeying the current standards. The method of LED based beamforming by deploying multiple LED's in an array is proposed to improve the detection and ranging accuracy. Finally, the results show that OCDMA based OOC codes show a low probability of error for a given SNR and Distance and outperformed other OCDMA techniques such as prime codes and hence indicate that OOC codes will be an optimal choice that can be coded in LED's for the use in self driving cars. © 2019 IEEE.
format Conference or Workshop Item
author Suresh, K.
Jeoti, V.
Drieberg, M.
Iqbal, A.
spellingShingle Suresh, K.
Jeoti, V.
Drieberg, M.
Iqbal, A.
On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
author_facet Suresh, K.
Jeoti, V.
Drieberg, M.
Iqbal, A.
author_sort Suresh, K.
title On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
title_short On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
title_full On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
title_fullStr On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
title_full_unstemmed On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
title_sort on self driving cars: an led time of flight (tof) based detection and ranging using various unipolar optical cdma codes
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073205413&doi=10.1109%2fICSCC.2019.8843646&partnerID=40&md5=0019824a182558d34e8cedba007eac10
http://eprints.utp.edu.my/23502/
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score 13.209306