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http://dx.doi.org/10.17661/jkiiect.2020.13.2.138

A Design of Passenger Detection and Sharing System(PDSS) to support the Driving ( Decision ) of an Autonomous Vehicles  

Son, Su-Rak (Department of Software Engineering, Catholic kwandong University)
Lee, Byung-Kwan (Department of Software Engineering, Catholic kwandong University)
Sim, Son-Kweon (Department of Geography Education, Catholic kwandong University)
Jeong, Yi-Na (Department of Software Engineering, Catholic kwandong University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.2, 2020 , pp. 138-144 More about this Journal
Abstract
Currently, an autonomous vehicle studies are working to develop a four-level autonomous vehicle that can cope with emergencies. In order to flexibly respond to an emergency, the autonomous vehicle must move in a direction to minimize the damage, which must be conducted by judging all the states of the road, such as the surrounding pedestrians, road conditions, and surrounding vehicle conditions. Therefore, in this paper, we suggest a passenger detection and sharing system to detect the passenger situation inside the autonomous vehicle and share it with V2V to the surrounding vehicles to assist in the operation of the autonomous vehicle. Passenger detection and sharing system improve the weighting method that recognizes passengers in the current vehicle to identify the passenger's position accurately inside the vehicle, and shares the passenger's position of each vehicle with other vehicles around it in case of emergency. So, it can help determine the driving of a vehicle. As a result of the experiment, the body pressure sensor applied to the passenger recognition sub-module showed about 8% higher accuracy than the conventional resonant sensor and about 17% higher than the piezoelectric sensor.
Keywords
Passenger Reconstruction; Autonomous Vehicles; V2V Communication; Vehicle Information Sharing; CNN;
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