Estimation of vehicle's lateral position via the lucas-kanade optical flow method

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7 Scopus citations

Abstract

The use of rumble strips on roads has proven to be an effective means of providing drivers lane departure warning (LDW). However, rumble strips require an infrastructure and do not exist on a majority of roadways. Therefore, it is desired to develop an effective virtual rumble-strip LDW system. However, before developing such a system, it is essential that we know the vehicle's lateral characteristics; in particular, the vehicle's lateral position and speed. In this paper, we focus on using image processing via an in-vehicle camera to estimate the vehicle's lateral position and speed. The lateral position is determined by finding the vehicle's heading angle via a homography and the Lucas-Kanade optical flow techniques; while the lateral speed is determined via the heading angle and the vehicle's On Board Diagnostic (OBD) System forward speed data. This paper describes our approach and findings in some detail together with suggested improvements. The advantage of our approach is that only the minimal set of information to characterize the vehicle lateral characteristics is needed and thus, making it more feasible in a vehicle application.

Original languageEnglish (US)
Pages (from-to)349-363
Number of pages15
JournalWSEAS Transactions on Systems
Volume11
Issue number8
StatePublished - Aug 1 2012
Externally publishedYes

Keywords

  • Feature selection and tracking
  • Harris corner
  • Heading angle
  • Histogram equalization
  • Homography
  • Optical flow

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