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Content available remote A review of flexible printed sensors for automotive infotainment systems
EN
Automobiles today are propelled by a variety of technologies that can be divided into three categories: safety, infotainment, and powertrain. The automobile industry is currently placing a high value on vehicle electronics and ergonomics in order to meet the needs of customers and to prepare for future applications. Flexible printed sensors are becoming increasingly popular in the automotive industry, owing to their high production rates, flexibility, and ability to accommodate complex geometries. Since the capacitive flexible printed sensors require many improvements to improve the performance measures in all aspects of the process. It was discovered that there were only a few research works accessible for the design and fabrication of suitable flexible sensors for automotive information and entertainment systems. Several researchers concluded that just a few studies had been conducted on the application of optimization algorithms in the design and fabrication of flexible printed capacitive sensors for the IVI bezel. Research attention has only been focused on investigating the impact of electrode parameters and sensor pattern on the performance of sensors in a limited number of studies.
EN
Technological development has resulted in the possibility of implementing a large number of telematics systems and subsystems within the vehicle. Their purpose is to collect data through a number of sensors on the state of the vehicle as well as its environment. The result of the collected data processing is information that can be used to increase the passengers' safety insi de the vehicle, but also to other participants of traffic network, and to optimize the desired resources such as fuel consumption, travel time etc. The use ofvehicle telematics systems and collected data can be of great importance when an unwanted event occurs in which the vehicle is involved. The aim of this research is to identifyvehicle systems that store data, data types and the possibility of their extraction using a digital forensic framework, for the purpose of timely reaction to the negative event occurrence.
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