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Detecting dangerous takover maneuvers live with a microcontroller on a bicycle

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Detecting dangerous takeovers on a bicycle

In this repo the usage of a recurrent neural network for detecting when a car overtakes a bicycle at a dangerously close distance based on low resolution depth videos is explored.

Contents

This repo contains code for:

  • ./training/: training and testing the neural network. This folder also contains the recorded and labeled trainingsdata.
  • ./deployment/sensebox/: deploying the trained network on a senseBox MCU S2 with a VL53L8CX sensor for recording the depth images
  • ./data-collection/: collecting more data for training the neural network

Concept

figures/concept.png

Hardware setup on a bicycle carrier

figures/bike_carrier_setup.jpg

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Detecting dangerous takover maneuvers live with a microcontroller on a bicycle

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  • C++ 82.2%
  • Python 11.1%
  • Processing 4.9%
  • C 1.8%