You should have intermediate C++ knowledge, and be familiar with calculus, probability, and linear algebra. See detailed requirements.
Process raw lidar data with filtering, segmentation, and clustering to detect other vehicles on the road. Lidar Obstacle Detection
Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusions. Radar Obstacle Detection
Fuse camera images together with lidar point cloud data. You'll extract object features, classify objects, and project the camera image into three dimensions to fuse with lidar data. Camera and Lidar Fusion
Fuse data from multiple sources using Kalman filters, and build extended and unscented Kalman filters for tracking nonlinear movement. Unscented Kalman Filters