Thesis manuscript: Vision Algorithms for Rain and Trafﬁc Lights in Driver Assistance Systems [pdf, 80MB]
The research scope of my thesis is the detection of visual cues to improve scene understanding for intelligent vehicles. Part of my work is focusing on object detection (traffic lights) as well as detecting and improving visibility in degraded conditions. I mainly work on two projects including traffic light recognition and rain detection. From July to end October 2011 I also worked in the robotics institute of CMU (USA) with professor Srinivasa Narasimhan on the simulation of a new weather-free lighting device.
(thesis advisor: Fawzi Nashashibi, Robotics Centre MinesParisTech & INRIA Imara Team)
Development of a fast reactive control device to the illumination through rain, snow and hail. More information to come.
Project conducted at Robotics Institute of CMU, with professor Srinivas Narasimhan and doctor Robert Tamburo.
> Project page (external page CMU)
This project involves detecting waterdrops on the windshield using an on-board camera. Specificity of this project is the use of a multi-tasks camera meaning that focused is set to infinity (for other objects recognition tasks) and raindrops appear blurred on the windshield increase consequently the difficulty of this task.
Real time recognition of traffic light in dense dynamics environment using spot light detection and templates matching.