Robust method for computing vehicle ego-motion

Gideon P. Stein*, Ofer Mano, Amnon Shashua

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

116 Scopus citations

Abstract

We describe a robust method for computing the ego-motion of the vehicle relative to the road using input from a single camera mounted next to the rear view mirror. Since feature points are unreliable in cluttered scenes we use direct methods where image values in the two images are combined in a global probability functions. Combined with the use of probability distribution matrices, this enables the formulation of a robust method that can ignore large number of outliers as one would encounter in real traffic situations. The method has been tested in real world environments and has been shown to be robust to glare, rain and moving objects in the scene.

Original languageAmerican English
Pages362-368
Number of pages7
StatePublished - 2000
Externally publishedYes

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