In this joint project of the Computer Vision Group at CAMP (TUM) and the BMW Group, we investigate the use of Machine Learning methods for Autonomous Driving. Of particular interest is the learning of driving strategies and the prediction of driving behavior, in order to be able to autonomously navigate through complex traffic scenarios. We take advantage of the multimodal sensor data available in the BMW environment model, consisting of tracked objects around the ego vehicle, detected lane markings, road boundaries and other bus data.
Visit our lab at Garching.
internal project page
Please contact Oliver Scheel
for available student projects within this research project.