Publication | Open Access
Detecting Road Obstacles by Erasing Them
32
Citations
33
References
2023
Year
EngineeringFeature DetectionField RoboticsErased ObstacleAdvanced Driver-assistance SystemRoad TextureImage Sequence AnalysisImage AnalysisPattern RecognitionRoad ObstaclesEdge DetectionComputational GeometryMachine VisionObject DetectionImage PatchesComputer ScienceOptical Image RecognitionDeep LearningComputer VisionCollision DetectionRoad Traffic Control
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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