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research article

Detecting Road Obstacles by Erasing Them

Lis, Krzysztof Maciej  
•
Honari, Sina  
•
Fua, Pascal  
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2024
IEEE Transactions on Pattern Analysis and Machine Intelligence

Vehicles can encounter a myriad of obstacles on the road, and it is impossible to record them all beforehand to train a detector. Instead, we select image patches and inpaint them with the surrounding road texture, which tends to remove obstacles from those patches. We then use a network trained to recognize discrepancies between the original patch and the inpainted one, which signals an erased obstacle.

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http://purl.org/coar/version/c_ab4af688f83e57aa

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