Importance

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Abstract

An arrangement for obstacle detection in autonomous vehicles wherein two significant data manipulations are employed in order to provide a more accurate read of potential obstacles and thus contribute to more efficient and effective operation of an autonomous vehicle. A first data manipulation involves distinguishing between those potential obstacles that are surrounded by significant background scatter in a radar diagram and those that are not, wherein the latter are more likely to represent binary obstacles that are to be avoided. A second data manipulation involves updating a radar image to the extent possible as an object comes into closer range. Preferably, the first aforementioned data manipulation may be performed via context filtering, while the second aforementioned data manipulation may be performed via blob-based hysteresis.

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First Claim