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Lecture Notes in Computer Science
We tackle the problem of estimating optical flow from a monocular camera in the context of autonomous driving. We build on the observation that the scene is typically composed of a static background, as well as a relatively small number of traffic participants which move rigidly in 3D. We propose to estimate the traffic participants using instance-level segmentation. For each traffic participant, we use the epipolar constraints that govern each independent motion for faster and more accuratedoi:10.1007/978-3-319-46466-4_10 fatcat:zmpui24d3bbv7n7pvdnowjj4aq