Image-based parking guiding using Ackermann steering geometry

Din Chang Tseng, Tat Wa Chao, Jiun Wei Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

An image-based parking guiding system is proposed to help drivers to park their cars into parking space. The proposed system only relies on an embedded hardware and a wide-angle camera to capture images for analysis. The proposed system needs no steering sensor; it is a money-saved technique; moreover, it is suitable for used cars and after-market usage. The input image is first transformed into a top-view image by a transformation matrix of homography. Then corner feature points on two continuous images are extracted to match each other. The feature-point pairs are further pruned by a least-square error metrics. The remained feature-point pairs are then used to estimate the vehicle motion parameters, where a coordinate transformation model is used to model and simulate the Ackermann steering geometry to describe the vehicle motion. At last, the vehicle trajectory is generated based on the vehicle motion parameters and the parking guiding lines are drawn according to the vehicle trajectory.

Original languageEnglish
Title of host publicationIndustrial Design and Mechanics Power II
Pages823-826
Number of pages4
DOIs
StatePublished - 2013
Event2nd International Conference on Industrial Design and Mechanics Power, ICIDMP 2013 - Nanjing, China
Duration: 24 Aug 201325 Aug 2013

Publication series

NameApplied Mechanics and Materials
Volume437
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Industrial Design and Mechanics Power, ICIDMP 2013
Country/TerritoryChina
CityNanjing
Period24/08/1325/08/13

Keywords

  • Ackermann geometry
  • Advanced safety vehicle
  • Computer vision
  • Parking assistance
  • Parking guidance

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