Discover a new approach for a fully interaction-aware traffic scenario prediction based on multi-modal rollout of probabilistic trajectories with reliable detection and analysis of potential conflicts.
Join Dr. Andreas Philipp in this tech talk on autonomous driving, the creation of safe, efficient and comfortable motion plans based on the scenario prediction, and the evaluation of prediction and planning based on real-world data and in simulated complex traffic scenarios.
About the speaker:
Dr. Andreas Philipp is a Postdoc researcher at Dahlem Center for Machine Learning and Robotics / FU Berlin. His doctoral dissertation was about "Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving" and has a 35 year experience as a developer and manager in the software industry with responsibility for the development of several large software products.
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