Learning to tell brake and turn signals in videos using CNN-LSTM structure

ITSC, pp. 1-6, 2017.

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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

We present a method that learns to tell rear signals from a number of frames using a deep learning framework. The proposed framework extracts spatial features with a convolution neural network (CNN), and then applies a long short term memory (LSTM) network to learn the long-term dependencies. The brake signal classifier is trained using R...More

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