"Point-Voxel CNN" Deployment on Full Scale Auotnomous Racing Vehicle

We deployed the state-of-the-art LiDAR perception model ["Point-Voxel CNN"]( on MIT Driverless's full scale autonomous racing vehicle. The deployment includes converting model task from segmentation to classification, ROS integration and full scale vehicle testing. Find full story in the video provided here.

Motion Blur Detection

In order to make custom high-speed cameras that can deal with small patches of motion blur, I proposed a custom convolutional model that can detect motion blurred patches within images, achieved two sigma accuracy.