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http://dx.doi.org/10.17661/jkiiect.2021.14.3.223

The Driving Situation Judgment System(DSJS) using road roughness and vehicle passenger conditions  

Son, Su-Rak (Department of Computer Engineering, Catholic Kwandong University)
Jeong, Yi-Na (Department of Computer Engineering, Catholic Kwandong University)
Ahn, Heui-Hak (Department of Software, Catholic Kwandong University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.14, no.3, 2021 , pp. 223-230 More about this Journal
Abstract
Currently, self-driving vehicles are on the verge of commercialization after testing. However, even though autonomous vehicles have not been fully commercialized, 81 accidents have occurred, and the driving method of vehicles to avoid accidents relies heavily on LiDAR. In order for the currently commercialized 3-level autonomous vehicle to develop into a 4-level autonomous vehicle, more information must be collected than previously collected information. Therefore, this paper proposes a Driving Situation Judgment System (DSJS) that accurately calculates the crisis situation the vehicle is in by useing the roughness of the road and the state of the passengers of surrounding vehicles including road information and weather information collected from existing autonomous vehicles. As a result of DSJS's PDM experiment, PDM was able to classify passengers 15.52% more accurately on average than the existing vehicle's passenger recognition system. This study can be a basic research to achieve the 4th level autonomous vehicle by collecting more various types than the data collected by the existing 3rd level autonomous vehicle.
Keywords
Dangerous situation Judgement; Deep neural network; Passenger recognition; Road roughness classification; Suspension pressure;
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