Self-calibrated multiple-lane detection system

Yan Jiang; Feng Gao; Guoyan Xu

doi:10.1109/PLANS.2010.5507334

Self-calibrated multiple-lane detection system

Yan Jiang^*
, Feng Gao
, Guoyan Xu

^*Corresponding author for this work

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

We presented a multiple-lane detection system in this paper. To cope with both straight and curved road, the system recognized the road type based on the vehicle's GPS position and digital map data, and designated different schemes for detection. Unlike the known systems that have treated lane marking as a single entity, this system focused on the inner edge of the stripe to locate a vehicle in a lane accurately. The camera's installation parameters, especially the pitch angle, were estimated using the real-time detection results to compensate for changes in the vehicle's pose. Using an "estimate- detect" style, adjacent-lane markings were detected even when they were partly blocked by other vehicles.

Original language	English
Title of host publication	IEEE/ION Position, Location and Navigation Symposium, PLANS 2010
Pages	1052-1056
Number of pages	5
DOIs	https://doi.org/10.1109/PLANS.2010.5507334
State	Published - 2010
Event	IEEE/ION Position, Location and Navigation Symposium, PLANS 2010 - Indian Wells, CA, United States Duration: 4 May 2010 → 6 May 2010

Publication series

Name	Record - IEEE PLANS, Position Location and Navigation Symposium

Conference

Conference	IEEE/ION Position, Location and Navigation Symposium, PLANS 2010
Country/Territory	United States
City	Indian Wells, CA
Period	4/05/10 → 6/05/10

Keywords

Calibration of pitch angle
Inverse perspective mapping
Lateral position determination
Multiple lane detection

Access to Document

10.1109/PLANS.2010.5507334

Cite this

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title = "Self-calibrated multiple-lane detection system",

abstract = "We presented a multiple-lane detection system in this paper. To cope with both straight and curved road, the system recognized the road type based on the vehicle's GPS position and digital map data, and designated different schemes for detection. Unlike the known systems that have treated lane marking as a single entity, this system focused on the inner edge of the stripe to locate a vehicle in a lane accurately. The camera's installation parameters, especially the pitch angle, were estimated using the real-time detection results to compensate for changes in the vehicle's pose. Using an {"}estimate- detect{"} style, adjacent-lane markings were detected even when they were partly blocked by other vehicles.",

keywords = "Calibration of pitch angle, Inverse perspective mapping, Lateral position determination, Multiple lane detection",

author = "Yan Jiang and Feng Gao and Guoyan Xu",

year = "2010",

doi = "10.1109/PLANS.2010.5507334",

language = "英语",

isbn = "9781424450367",

series = "Record - IEEE PLANS, Position Location and Navigation Symposium",

pages = "1052--1056",

booktitle = "IEEE/ION Position, Location and Navigation Symposium, PLANS 2010",

note = "IEEE/ION Position, Location and Navigation Symposium, PLANS 2010 ; Conference date: 04-05-2010 Through 06-05-2010",

}

Jiang, Y, Gao, F & Xu, G 2010, Self-calibrated multiple-lane detection system. in IEEE/ION Position, Location and Navigation Symposium, PLANS 2010., 5507334, Record - IEEE PLANS, Position Location and Navigation Symposium, pp. 1052-1056, IEEE/ION Position, Location and Navigation Symposium, PLANS 2010, Indian Wells, CA, United States, 4/05/10. https://doi.org/10.1109/PLANS.2010.5507334

TY - GEN

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AU - Jiang, Yan

AU - Gao, Feng

AU - Xu, Guoyan

PY - 2010

Y1 - 2010

N2 - We presented a multiple-lane detection system in this paper. To cope with both straight and curved road, the system recognized the road type based on the vehicle's GPS position and digital map data, and designated different schemes for detection. Unlike the known systems that have treated lane marking as a single entity, this system focused on the inner edge of the stripe to locate a vehicle in a lane accurately. The camera's installation parameters, especially the pitch angle, were estimated using the real-time detection results to compensate for changes in the vehicle's pose. Using an "estimate- detect" style, adjacent-lane markings were detected even when they were partly blocked by other vehicles.

AB - We presented a multiple-lane detection system in this paper. To cope with both straight and curved road, the system recognized the road type based on the vehicle's GPS position and digital map data, and designated different schemes for detection. Unlike the known systems that have treated lane marking as a single entity, this system focused on the inner edge of the stripe to locate a vehicle in a lane accurately. The camera's installation parameters, especially the pitch angle, were estimated using the real-time detection results to compensate for changes in the vehicle's pose. Using an "estimate- detect" style, adjacent-lane markings were detected even when they were partly blocked by other vehicles.

KW - Calibration of pitch angle

KW - Inverse perspective mapping

KW - Lateral position determination

KW - Multiple lane detection

UR - https://www.scopus.com/pages/publications/77955025717

U2 - 10.1109/PLANS.2010.5507334

DO - 10.1109/PLANS.2010.5507334

M3 - 会议稿件

AN - SCOPUS:77955025717

SN - 9781424450367

T3 - Record - IEEE PLANS, Position Location and Navigation Symposium

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BT - IEEE/ION Position, Location and Navigation Symposium, PLANS 2010

T2 - IEEE/ION Position, Location and Navigation Symposium, PLANS 2010

Y2 - 4 May 2010 through 6 May 2010

ER -

Self-calibrated multiple-lane detection system

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Keywords

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