Post doc in Computer Vision

This offer is part of a collaborative project between IRISA and Smartmoov called “Digital Solutions for Driving Schools”. This project aims at developing a solution based on a dashcam that records driving lessons to detect mistakes made during a lesson thanks to computer vision algorithms on image and videos. In particular, the distances between the car and its neighbourhood will have to be analyzed (distance to pedestrians, other vehicles, riders…). Traffic lights, stop signs and other events that could happen during a driving lesson will also have to be considered, in order to ease the learning for the learner driver.

The proposed technological solution could be based on recent works from Adrien Rosebrock about object detection in videos and about evaluating the distances between objects in videos  (https://www.pyimagesearch.com/author/adrian/).

The developed solution will be evaluated first on a public dataset of dashcam videos taken from the inside of cars, and then on some data provided by Smartmoov.