Detecting traffic lights and the distance to them, using image processing and machine learning, in 4 parts:
- Detection of source lights in an image using convolution with customized high-pass filter.
- Generating and training CNN using the products of the previous stage as input, to conclude all the traffic lights in the image.
- Estimating the distance to each detected traffic light from the camera picturing the images of interest, involving geometric and linear algebra calculations (SFM).
- Integrating all previous parts into a functional and intuitive SW product.
- python 3.7
- Deep Learning
- Tensorflow, PIL, numpy, matplotlib, scipy and etc.
- Mobileye mentors
- Elevation staff