An image-based optical flow approach to determine vehicle's lateral position

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

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. 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)-II 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)
Title of host publicationProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Pages981-987
Number of pages7
StatePublished - Dec 1 2012
Externally publishedYes
Event2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 - Las Vegas, NV, United States
Duration: Jul 16 2012Jul 19 2012

Publication series

NameProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Volume2

Other

Other2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
CountryUnited States
CityLas Vegas, NV
Period7/16/127/19/12

Keywords

  • Harris corner
  • Optical flow method
  • Tracking

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