Location: AIR Lab, RI, CMU

Presence of smoke in the environment leads to loss of color contrast, precision and saturation and hence visual odometry algorithms are unable to find distinguishing features in the image. In this project, I developed an integrated real-time image dehazing and visual odometry approach for autonomous aerial navigation on a smoke degraded shipboard which was tested on a real smoke filled shipboard dataset.

Links : Report / Videos : Clip 1

Skills : C++, OpenCV, ROS