Preceding vehicle recognition algorithm using fusion of laser radar and image processing

Toshio Ito, K. Yamada, K. Nishioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Recognizing preceding vehicles and measuring distance headway are very important technologies for advanced vehicle control such as collision avoidance systems and automated driving systems. Typical methods to realize these technologies are using a laser radar and an image processing. Those two methods have complemental characters. That is, distance data are easily obtained but recognition of vehicles are required various techniques by use of the laser radar, and to recognize vehicles is rather easy by use of image processing. We are developing a fusion system combined those characteristic properties of laser radar and image processing. This system recognizes preceding vehicle positions and measures distance data using the laser radar, and improves certainty of the recognition results. This paper presents a general structure of this fusion system, and algorithms for recognizing and chasing vehicles. Details about original fast tracking algorithms are described.

Original languageEnglish
Title of host publicationProceedings of the Intelligent Vehicles 1993 Symposium, IV 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages420-425
Number of pages6
ISBN (Electronic)0780313704
DOIs
Publication statusPublished - 1993 Jan 1
Externally publishedYes
Event1993 Intelligent Vehicles Symposium, IV 1993 - Tokyo, Japan
Duration: 1993 Jul 141993 Jul 16

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference1993 Intelligent Vehicles Symposium, IV 1993
CountryJapan
CityTokyo
Period93/7/1493/7/16

Fingerprint

Optical radar
Image processing
Fusion reactions
Collision avoidance

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation

Cite this

Ito, T., Yamada, K., & Nishioka, K. (1993). Preceding vehicle recognition algorithm using fusion of laser radar and image processing. In Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993 (pp. 420-425). [697363] (IEEE Intelligent Vehicles Symposium, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IVS.1993.697363

Preceding vehicle recognition algorithm using fusion of laser radar and image processing. / Ito, Toshio; Yamada, K.; Nishioka, K.

Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993. Institute of Electrical and Electronics Engineers Inc., 1993. p. 420-425 697363 (IEEE Intelligent Vehicles Symposium, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ito, T, Yamada, K & Nishioka, K 1993, Preceding vehicle recognition algorithm using fusion of laser radar and image processing. in Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993., 697363, IEEE Intelligent Vehicles Symposium, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 420-425, 1993 Intelligent Vehicles Symposium, IV 1993, Tokyo, Japan, 93/7/14. https://doi.org/10.1109/IVS.1993.697363
Ito T, Yamada K, Nishioka K. Preceding vehicle recognition algorithm using fusion of laser radar and image processing. In Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993. Institute of Electrical and Electronics Engineers Inc. 1993. p. 420-425. 697363. (IEEE Intelligent Vehicles Symposium, Proceedings). https://doi.org/10.1109/IVS.1993.697363
Ito, Toshio ; Yamada, K. ; Nishioka, K. / Preceding vehicle recognition algorithm using fusion of laser radar and image processing. Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993. Institute of Electrical and Electronics Engineers Inc., 1993. pp. 420-425 (IEEE Intelligent Vehicles Symposium, Proceedings).
@inproceedings{f24a23ec36744daf8a7ff1ffe7c28aff,
title = "Preceding vehicle recognition algorithm using fusion of laser radar and image processing",
abstract = "Recognizing preceding vehicles and measuring distance headway are very important technologies for advanced vehicle control such as collision avoidance systems and automated driving systems. Typical methods to realize these technologies are using a laser radar and an image processing. Those two methods have complemental characters. That is, distance data are easily obtained but recognition of vehicles are required various techniques by use of the laser radar, and to recognize vehicles is rather easy by use of image processing. We are developing a fusion system combined those characteristic properties of laser radar and image processing. This system recognizes preceding vehicle positions and measures distance data using the laser radar, and improves certainty of the recognition results. This paper presents a general structure of this fusion system, and algorithms for recognizing and chasing vehicles. Details about original fast tracking algorithms are described.",
author = "Toshio Ito and K. Yamada and K. Nishioka",
year = "1993",
month = "1",
day = "1",
doi = "10.1109/IVS.1993.697363",
language = "English",
series = "IEEE Intelligent Vehicles Symposium, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "420--425",
booktitle = "Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993",

}

TY - GEN

T1 - Preceding vehicle recognition algorithm using fusion of laser radar and image processing

AU - Ito, Toshio

AU - Yamada, K.

AU - Nishioka, K.

PY - 1993/1/1

Y1 - 1993/1/1

N2 - Recognizing preceding vehicles and measuring distance headway are very important technologies for advanced vehicle control such as collision avoidance systems and automated driving systems. Typical methods to realize these technologies are using a laser radar and an image processing. Those two methods have complemental characters. That is, distance data are easily obtained but recognition of vehicles are required various techniques by use of the laser radar, and to recognize vehicles is rather easy by use of image processing. We are developing a fusion system combined those characteristic properties of laser radar and image processing. This system recognizes preceding vehicle positions and measures distance data using the laser radar, and improves certainty of the recognition results. This paper presents a general structure of this fusion system, and algorithms for recognizing and chasing vehicles. Details about original fast tracking algorithms are described.

AB - Recognizing preceding vehicles and measuring distance headway are very important technologies for advanced vehicle control such as collision avoidance systems and automated driving systems. Typical methods to realize these technologies are using a laser radar and an image processing. Those two methods have complemental characters. That is, distance data are easily obtained but recognition of vehicles are required various techniques by use of the laser radar, and to recognize vehicles is rather easy by use of image processing. We are developing a fusion system combined those characteristic properties of laser radar and image processing. This system recognizes preceding vehicle positions and measures distance data using the laser radar, and improves certainty of the recognition results. This paper presents a general structure of this fusion system, and algorithms for recognizing and chasing vehicles. Details about original fast tracking algorithms are described.

UR - http://www.scopus.com/inward/record.url?scp=0347789219&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0347789219&partnerID=8YFLogxK

U2 - 10.1109/IVS.1993.697363

DO - 10.1109/IVS.1993.697363

M3 - Conference contribution

T3 - IEEE Intelligent Vehicles Symposium, Proceedings

SP - 420

EP - 425

BT - Proceedings of the Intelligent Vehicles 1993 Symposium, IV 1993

PB - Institute of Electrical and Electronics Engineers Inc.

ER -