Article thumbnail

Development of a Frontal Collision Detection Algorithm Using Laser Scanners

By 

Abstract

Abstract: Collision detection plays a key role in collision mitigation system. The malfunction of the collision mitigation system can result in another dangerous situation or unexpected feeling to driver and passenger. To prevent this situation, the collision time, offset, and collision decision should be determined from the appropriate collision detection algorithm. This study focuses on a method to determine the time to collision (TTC) and frontal offset (FO) between the ego vehicle and the target object. The path prediction method using the ego vehicle information is proposed to improve the accuracy of TTC and FO. The path prediction method utilizes the ego vehicle motion data for better prediction performance. The proposed algorithm is developed based on laser scanner. The performance of the propose

Topics: Key words, Collision detection(충 돌 판단, Path prediction(궤 적 예측, Time to collision(충 돌 시간, Frontal offset
Year: 2016
OAI identifier: oai:CiteSeerX.psu:10.1.1.957.3438
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://ocean.kisti.re.kr/downf... (external link)
  • http://ocean.kisti.re.kr/downf... (external link)
  • http://citeseerx.ist.psu.edu/v... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.