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News, Analysis & Perspective on Autonomous Vehicles

DeepDriving: Learning affordance for direct perception in autonomous driving

Princeton, December 31, 2015

Today, there are two major paradigms for vision-based autonomous driving systems: mediated perception approaches that parse an entire scene to make a driving decision, and behavior reflex approaches that directly map an input image to a driving action by a regressor. In this paper, we propose a third paradigm: a direct perception approach to estimate the affordance for driving.

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