자율주행 환경기반 스마트 신호등의 향상된 칼만필터 알고리즘을 활용한 모바일 사용자의 위치 탐지

The self-driving cars identify appropriate navigation paths and obstacles to arrive at their destinations without human control. The autonomous cars are capable of sensing driving environments to improve driver and pedestrian safety by sharing with neighbor traffic infrastructure. In this paper, we...

Full description

Saved in:
Bibliographic Details
Published in한국컴퓨터정보학회논문지 Vol. 24; no. 5; pp. 67 - 72
Main Authors 정주호(Ju-Ho Jung), 송정은(Jung-Eun Song), 안준호(Jun-Ho Ahn)
Format Journal Article
LanguageKorean
Published 한국컴퓨터정보학회 01.05.2019
Subjects
Online AccessGet full text
ISSN1598-849X
2383-9945
DOI10.9708/jksci.2019.24.05.067

Cover

More Information
Summary:The self-driving cars identify appropriate navigation paths and obstacles to arrive at their destinations without human control. The autonomous cars are capable of sensing driving environments to improve driver and pedestrian safety by sharing with neighbor traffic infrastructure. In this paper, we have focused on pedestrian protection and have designed an improved localization algorithm to track mobile users on roads by interacting with smart traffic lights in vehicle environments. We developed smart traffic lights with the RSSI sensor and built the proposed method by improving the Kalman filter algorithm to localize mobile users accurately. We successfully evaluated the proposed algorithm to improve the mobile user localization with deployed five smart traffic lights. KCI Citation Count: 1
ISSN:1598-849X
2383-9945
DOI:10.9708/jksci.2019.24.05.067