HeeSeok Choi

Vol. 13,  No. 11, pp. 619-627, Nov.  2024
https://doi.org/10.3745/TKIPS.2024.13.11.619

SUA(Sudden Unintended Acceleration) IoT Edge Computing multi-sensor Cloud computing

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Recently, the number of sudden unintended acceleration (SUA) accidents, which are a phenomenon in which the braking effect is clearly lost along with the sudden unintended acceleration of a vehicle, has been steadily increasing, and this has become the center of controversy worldwide. The point of the controversy is whether the suspected SUA accident was caused by a defect in the vehicle or by the driver's pedal error. In the case of a suspected SUA accident, the manufacturer collects the vehicle and determines the displacement of the driver's accelerator pedal and whether the driver pressed the brake based on the data stored in the Event Date Recoder (EDR) device, and notifies whether the vehicle has a defect, which is legally recognized. However, if the driver cannot prove that he/she pressed the brake pedal at the moment of the accident by installing a device such as a pedal camera, he/she must follow the manufacturer's claim, so it is common practice to consider the accident as caused by the driver's lack of experience. In addition, as the number of cases in which sudden acceleration is claimed unconditionally in traffic accidents increases, it takes a long time to determine the truth. Therefore, it is absolutely necessary to develop a solution to prove suspected SUA accidents that can accurately identify the actual cause of the accident. In order to prove a suspected SUA accident, the three most important things are 1. whether the brake pedal was pressed at the moment of the SUA accident, 2. whether the brake pedal was pressed hard enough rather than moderately, and 3. whether the accelerator pedal was pressed or the brake pedal and the accelerator pedal were pressed at the same time. This requires verification by the user themselves, and cannot be clearly proven simply by installing a pedal camera. In this paper, we propose a solution that can prove a suspected SUA accident by installing an IR camera, a 6-axis inertial sensor, and an OBD2 scanner, collecting the generated multi-sensor data, and providing reliable data. This provides the exact displacement amount of which pedal was pressed and how much it moved at the moment of the accident through reliable numerical data and images, so it can clearly identify the cause of the accident and provide satisfaction to drivers who are anxious about SUA accidents.