A robust method for computing vehicle ego-motion

G.P. Stein, O. Mano, A. Shashua

Research output: Contribution to conferencePaperpeer-review

115 Scopus citations


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 function. 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 languageEnglish
Number of pages7
StatePublished - 2000
EventIEEE Intelligent Vehicles Symposium 2000 - The Ritz-Carlton Hotel, Dearborn, United States
Duration: 3 Oct 20003 Oct 2000


ConferenceIEEE Intelligent Vehicles Symposium 2000
Country/TerritoryUnited States
Internet address


  • computation
  • Intelligent Vehicles
  • Image processing and computer vision


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