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A Low Cost Approach to Improving Pedestrian Safety with Deep Learning

nry.me · published 6 February 2019

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https://coral.ai/products/accelerator/

coral.ai

https://github.com/nathanrooy/rpi-urban-mobility-tracker

github.com

https://github.com/nathanrooy/ped-net

github.com

https://nry.me/2018-01-11/one-year-of-bike-commuting/

nry.me

https://en.wikipedia.org/wiki/Curb_extension

en.wikipedia.org

https://www.cincinnati-oh.gov/bikes/news/central-parkway-bikeway/

cincinnati-oh.gov

https://en.wikipedia.org/wiki/Raspberry_Pi

en.wikipedia.org

https://en.wikipedia.org/wiki/Neodymium_magnet

en.wikipedia.org

https://en.wikipedia.org/wiki/Convolutional_neural_network

en.wikipedia.org

https://www.tensorflow.org/

tensorflow.org

python language

python.org

http://www.numpy.org/

numpy.org

http://scikit-learn.org

scikit-learn.org

https://www.tensorflow.org/mobile/tflite/

tensorflow.org

https://github.com/tzutalin/labelImg

github.com

http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/

vision.caltech.edu

http://www.gavrila.net/Datasets/Daimler_Pedestrian_Benchmark_D/daimler_pedestrian_benchmark_d.html

gavrila.net

https://en.wikipedia.org/wiki/Deep_learning

en.wikipedia.org

https://nry.me/posts/2019-02-06/means_clustering

nry.me