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시뮬레이션 기반 화물차 주행 중 차선 이탈 예측 모델 연구

A Study on the Prediction Model of Lane Departure During Truck Driving Based on Simulation

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키워드

주제분류기계공학

초록

The lane departure warning device can not detect the lane to be driven in the future by sensing the departure of the lane passing by during driving and warning the driver. Considering the safe operation of the truck, it is also expected that the departure of the future lanes according to the dynamic weight and speed of the current truck should be predicted. This study attempted to predict whether or not to deviate from the lanes of curved roads to be driven in the future according to the current dynamic driving weight and speed in consideration of the safe driving of trucks.

Abstract

The lane departure warning device can not detect the lane to be driven in the future by sensing the departure of the lane passing by during driving and warning the driver. Considering the safe operation of the truck, it is also expected that the departure of the future lanes according to the dynamic weight and speed of the current truck should be predicted. This study attempted to predict whether or not to deviate from the lanes of curved roads to be driven in the future according to the current dynamic driving weight and speed in consideration of the safe driving of trucks.

참고문헌 (3)

  1. 박희문, "컨벌루션 신경망을 사용한 다중 차선 인식", 한국기계기술학회지, 24(2), pp.288~295 (2022), 한국기계기술학회[DOI]
  2. 이병석, "위험물 운반차량 사고감지 시스템 구축과 잭나이핑 및 롤오버 사고감지 알고리즘 개발", 교통연구, 21(3), pp.35~54 (2014), 한국교통연구원[DOI]
  3. 서주찬, "라이다 및 카메라 듀얼 센서 모니터링 기반의 곡선 차선인식 알고리즘 연구", 한국자동차공학회 논문집, 29(2), pp.197~204 (2021), 한국자동차공학회

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