Pedestrian Collision Avoidance System (PeCAS): a Deep Learning Framework

2018/11/11 by Peetak Mitra, Mitra, Peetak
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV

paper · pdf · doi:10.48550/arxiv.1811.04453

arXiv admin note: text overlap with arXiv:1412.0069 by other authors

arxiv created 2018/12/20 · arxiv updated 2018/12/24

Abstract

We propose a new deep learning based framework to identify pedestrians, and caution distracted drivers, in an effort to prevent the loss of life and property. This framework uses two Convolutional Neural Networks (CNN), one which detects pedestrians and the second which predicts the onset of drowsiness in a driver, is implemented on a Raspberry Pi 3 Model B+, shows great promise. The algorithm for implementing such a low-cost, low-compute model is presented and the results discussed.

Citations

• Pedestrian Detection aided by Deep Learning Semantic Tasks

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