Implementing Internet of Vehicles (IOV) Scanning Devices for Improving the Road Safety Concept
The paper presents implementation of monitoring devices connected to the Internet of Vehicle network, that can
contribute overall road safety, as well as, various road assessment programs. Internet of Things (IoT) already has been
introduced as a spreading network of various devices that could be applicated in the different life situations. Internet of
Vehicles (IoV) can be considered as a subgroup of IoT. However, the vehicle network could be significant contributor to
safety of all traffic participants. Various multisensory platforms are equipped with video cameras, temperature and humidity
sensors, surface scanning profile meters and so on. As a tool for road and environment monitoring, it can be mounted on the
different classes of vehicles, such are motorcycles, cars, trucks, busses, trains, and, even pedestrians. Further on, such
devices can be connected through the Internet of Vehicle (IoV) network. The common problems in the wireless field of
communication, followed by connection quality between the moving objects are considered in different IoV models and
predictions. Nevertheless, the main goal in this kind of multisensory unit network is to collect, processing signals and send
back useful information in real time, or in time that could be sufficient for every traffic participant, to take adequate actions
to avoid possible traffic accident.
The digital signals are usually captured form multisensory platforms, and need to be sent to the local central computing
systems or servers. After the signal processing, the results about the road and environmental conditions are sent back to
every local vehicle network units, bringing information, necessary to adequate reaction.
In this paper the various processing techniques of signals obtained by vehicle multisensory platforms are introduced. The
problems of real time driver alerting for improving the safety level, considering problems of moving objects, wireless
connections are analyzed
Keywords - Internet of Vehicles, Road Safety, Multisensors platform, Driver Alert, Scanning devices.