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- W2601645953 abstract "Convolutional Neural Networks combined with a state of the artstereo-matching method are used to find and estimate the 3D positionof vehicles in pairs of stereo images. Pixel positions of vehiclesare first estimated separately in pairs of stereo images usinga Convolutional Neural Network for regression. These coordinatesare then combined with a state-of-art stereo-matching method todetermine the depth, and thus the 3D location, of the vehicles. Weshow in this paper that cars can be detected with a combined accuracyof approximately 90% with a tolerated radius error of 5%,and a Mean Absolute Error of 5.25m on depth estimation for carsup to 50m away." @default.
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- W2601645953 date "2016-10-03" @default.
- W2601645953 modified "2023-09-26" @default.
- W2601645953 title "Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching" @default.
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- W2601645953 doi "https://doi.org/10.15353/vsnl.v2i1.101" @default.
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