Real time complex scene segmentation and prediction in urban environments

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Real time complex scene segmentation and prediction in urban environments The project will be looking atspatiotemporal sematic segmentation and prediction of actions of other road users in the context of SAE level 4-5autonomous vehicles. But specifically, it will focus on inner city/urban driving. It will focus on the computer vision tools forsegmentation and reasoning about scene content and motion with integration into ROS and testing on our autonomoustestbed.