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An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems
Dissertation (MEng (Computer Engineering))--University of Pretoria, 2021.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2022
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| _version_ | 1867613526100541440 |
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| access_status_str | Open Access |
| author2 | Myburgh, Hermanus Carel |
| author_browse | Myburgh, Hermanus Carel |
| author_facet | Myburgh, Hermanus Carel |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng (Computer Engineering))--University of Pretoria, 2021. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/83742 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:32.711Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/83742 An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems Myburgh, Hermanus Carel u10118986@tuks.co.za Fourie, Christiaan Muller Advanced driver-assistance systems (ADAS) ADAS and smartphones Intra-VehicularWireless Sensor Network (IVWSN) Wireless Multimedia Sensor Networks (WMSN) Object detection UCTD Dissertation (MEng (Computer Engineering))--University of Pretoria, 2021. Advanced driver-assistance systems (ADAS) are more prevalent in high-end vehicles than in low-end vehicles. The research proposes an alternative for drivers without having to wait years to gain access to the safety ADAS offers. Wireless Multimedia Sensor Networks (WMSN) for ADAS applications in collaboration with smartphones is non-existent. Intra-vehicle environments cause difficulties in data transfer for wireless networks where performance of such networks in an intra-vehicle network is investigated. A low-cost alternative was proposed that extends a smartphone’s sensor perception, using a camera- based wireless sensor network. This dissertation presents the design of a low-cost ADAS alternative that uses an intra-vehicle wireless sensor network structured by a Wi-Fi Direct topology, using a smartphone as the processing platform. In addition, to expand on the smartphone’s other commonly available wireless protocols, the Bluetooth protocol was used to collect blind spot sensory data, being processed by the smartphone. Both protocols form part of the Intra-Vehicular Wireless Sensor Network (IVWSN). Essential ADAS features developed on the smartphone ADAS application carried out both lane detection and collision detection on a vehicle. A smartphone’s processing power was harnessed and used as a generic object detector through a convolution neural network, using the sensory network’s video streams. Blind spot sensors on the lateral sides of the vehicle provided sensory data transmitted to the smartphone through Bluetooth. IVWSNs are complex environments with many reflective materials that may impede communication. The network in a vehicle environment should be reliable. The network’s performance was analysed to ensure that the network could carry out detection in real-time, which would be essential for the driver’s safety. General ADAS systems use wired harnessing for communication and, therefore, the practicality of a novel wireless ADAS solution was tested. It was found that a low-cost advanced driver-assistance system alternative can be conceptualised by using object detection techniques being processed on a smartphone from multiple streams, sourced from an IVWSN, composed of camera sensors. A low-cost CMOS camera sensors network with a smartphone found an application, using Wi-Fi Direct to create an intra-vehicle wireless network as a low-cost advanced driver-assistance system. Electrical, Electronic and Computer Engineering MEng (Computer Engineering) Unrestricted 2022-02-09T14:25:22Z 2022-02-09T14:25:22Z 2022-05-04 2021 Dissertation * A2022 http://hdl.handle.net/2263/83742 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Advanced driver-assistance systems (ADAS) ADAS and smartphones Intra-VehicularWireless Sensor Network (IVWSN) Wireless Multimedia Sensor Networks (WMSN) Object detection UCTD An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems |
| title | An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems |
| title_full | An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems |
| title_fullStr | An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems |
| title_full_unstemmed | An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems |
| title_short | An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems |
| title_sort | intra vehicular wireless multimedia sensor network for smartphone based low cost advanced driver assistance systems |
| topic | Advanced driver-assistance systems (ADAS) ADAS and smartphones Intra-VehicularWireless Sensor Network (IVWSN) Wireless Multimedia Sensor Networks (WMSN) Object detection UCTD |
| url | http://hdl.handle.net/2263/83742 |