K-Crash Collision Seminar Highlights
EDR Data Reliability and Insurance Fraud Awareness
Demonstrations of Accident Analysis and Prevention Technologies
The Korean Society of Automotive Mobility Safety announced that it held the K-Crash Collision Seminar at the Automobile Technology Research Center of the Korea Insurance Development Institute over two days, starting from July 21.
The main agenda of the seminar included accident analysis using Advanced Driver Assistance Systems (ADAS) and Event Data Recorders (EDR), as well as improving recognition of intentional accidents. ADAS is an auxiliary system that utilizes vehicle sensors and software to enhance driver convenience. EDR is a device that automatically records vehicle operation data immediately before and after a car accident. It contains a variety of information, including speed, engine RPM, accelerator pedal displacement, master cylinder pressure, brake pedal operation, and smart cruise control status.
As unintentional sudden acceleration accidents, such as pedal misapplication by elderly drivers, have become more frequent, public anxiety has increased. In this context, distrust in accident cause analysis using EDR data has also grown. The seminar was organized to address this distrust by sharing EDR data and ADAS-based accident analysis technologies.
Car-to-car collision test held on the 22nd at the Automobile Technology Research Center of the Korea Insurance Development Institute. Provided by the Korean Society of Automotive Mobility Safety.
The seminar also raised awareness of insurance fraud by sharing video analysis techniques and case studies of intentional accidents. The amount detected for automobile insurance fraud increased by more than 20%, from 470.5 billion won in 2022 to 570.4 billion won in 2024. The proportion of automobile insurance fraud out of the total detected amount for life and non-life insurance also rose from 43.5% to 49.6% over the same period.
The Society explained, "We prepared this seminar based on expert opinions that, in the era of autonomous driving, it is necessary to improve awareness of the reliability of EDR data, which is crucial for determining responsibility and analyzing the causes of accidents, and to raise awareness of insurance fraud involving intentional accidents."
Attorney Park Suyeon, CEO of the Korea Mobility Technology Institute, gave a presentation on domestic and international legal trends regarding event data recorders. Kim Namhyeong, team leader at the Korea Insurance Development Institute, introduced video analysis techniques and case studies for determining the intentionality of car accidents. On the second day, a car-to-car collision test was demonstrated. It was confirmed that the Forward Collision-Avoidance Assist (FCA) function, which enables a moving vehicle to detect a stationary vehicle ahead and stop automatically to avoid a collision, operated correctly.
A test was also conducted in which the same moving vehicle collided with the rear of a stationary vehicle after simulating driving conditions where the FCA was deactivated. Subsequently, the EDR data of the moving vehicle was compared and analyzed with data from precision measuring equipment, verifying that there were no reliability issues with the EDR data.
Ha Seongyong, president of the Korean Society of Automotive Mobility Safety, stated, "With the revision of the Automobile Management Act taking effect from December, automobile manufacturers and sellers will be required to distribute and sell EDR data extraction equipment on the market, and to provide EDR data and analysis reports to vehicle owners upon request. It is significant that this seminar provided an opportunity to share professional education and practical case studies in response to these regulatory changes."
The Society also announced plans to hold a technology seminar on collision-related topics at the Intelligent Automotive Parts Promotion Institute in October. The event will feature demonstrations of pedal misapplication prevention devices and reproduction tests of autonomous driving edge cases.
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