An intra-vehicular wireless multimedia sensor network for smartphone-based low-cost advanced driver-assistance systems
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Authors
Fourie, Christiaan Muller
Myburgh, Hermanus Carel
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Advanced driver-assistance system(s) (ADAS) are more prevalent in high-end vehicles
than in low-end vehicles. Wired solutions of vision sensors in ADAS already exist, but are costly
and do not cater for low-end vehicles. General ADAS use wired harnessing for communication;
this approach eliminates the need for cable harnessing and, therefore, the practicality of a novel
wireless ADAS solution was tested. A low-cost alternative is proposed that extends a smartphone’s
sensor perception, using a camera-based wireless sensor network. This paper 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. The proposed system makes
ADAS features accessible to cheaper vehicles and investigates the possibility of using a wireless
network to communicate ADAS information in a intra-vehicle environment. Other ADAS smartphone
approaches make use of a smartphone’s onboard sensors; however, this paper shows the application
of essential ADAS features developed on the smartphone’s ADAS application, carrying out both
lane detection and collision detection on a vehicle by using wireless sensor data. 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. The network’s performance was analysed to
ensure that the network could carry out detection in real-time. A low-cost CMOS camera sensor
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.
Description
DATA AVAILABLITY STATEMENT : Publicly available datasets were analysed in this study. There data can
be found here: https://github.com/TuSimple/tusimple-benchmark and https://boxy-dataset.com/
boxy/ accessed on 25 November 2021.
Keywords
ADAS and smartphones, Object detection, Intra-vehicular wireless sensor networks (IVWSN), Wireless multimedia sensor networks (WMSN), Advanced driver-assistance system(s) (ADAS)
Sustainable Development Goals
Citation
Fourie, C.M.; Myburgh,
H.C. An Intra-Vehicular Wireless
Multimedia Sensor Network for
Smartphone-Based Low-Cost
Advanced Driver-Assistance Systems.
Sensors 2022, 22, 3026.
https://DOI.org/10.3390/s22083026.