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http://dx.doi.org/10.9717/kmms.2022.25.2.297

Collision Detection Algorithm using a 9-axis Sensor in Road Facility  

Hong, Ki Hyeon (Dept. of IT Convergence Engineering, Graduate School, Gachon University)
Lee, Byung Mun (Dept. of Computer Engineering, College of IT Convergence, Gachon University)
Publication Information
Journal of Korea Multimedia Society / v.25, no.2, 2022 , pp. 297-310 More about this Journal
Abstract
Road facilities such as CCTV poles have potential risk of collision accidents with a car. A collision detection algorithm installed in the facility allows the collision accident to be known remotely. Most collision detection algorithms are operated by simply focusing on whether a collision have occurred, because these methods are used to measure only acceleration data from a 3-axis sensor to detect collision. However, it is difficult to detect other detailed information such as malfunction of the sensor, collision direction and collision strength, because it is not known without witness the accident. Therefore, we proposed enhanced detection algorithm to get the collision direction, and the collision strength from the tilt of the facility after accident using a 9-axis sensor in this paper. In order to confirm the performance of the algorithm, an accuracy evaluation experiment was conducted according to the data measurement cycle and the invocation cycle to an detection algorithm. As a result, the proposed enhanced algorithm confirmed 100% accuracy for 50 weak collisions and 50 strong collisions at the 9-axis data measurement cycle of 10ms and the invocation cycle of 1,000ms. In conclusion, the algorithm proposed is expected to provide more reliable and detailed information than existing algorithm.
Keywords
9-axis acceleration sensor; Collision detection; Geomagnetic sensor; Gyroscope sensor; MPU9250; Road facilities;
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Times Cited By KSCI : 2  (Citation Analysis)
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