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M. V. Baumann
Also published under:Michael Baumann
Affiliation
Institute for Transport Studies (IfV), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Topic
Advanced Driver Assistance Systems,Mean Free Path,Traffic Light,Acceleration Parameter,Automated Vehicles,Basic Principles,Bayes Factor,Bayesian Model,Beta Distribution,Bottleneck Scenario,Circular Arc,Circular Variance,Classification Performance,Cluster Centers,Combination Of Parameters,Crowdsourcing,Difference In Latency,Digital Map,Distancing Measures,Driver Behavior,Driver Model,Explicit Model,Flow Balance,General Approach,Green Signal,Hidden Markov Model,High Pb,High Penetration Rate,High Traffic Volume,Higher Intensity,Human Behavior,Human Drivers,Human Factor,Improvement In Accuracy,Intersectional Approach,Lane Markings,Left Turn,Light Signal,Linear Classifier,Longitudinal Behavior,Map Information,Market Value,Maximum Acceleration,Maximum Velocity,Model Comparison,Number Of Traces,OpenStreetMap,Particle Filter,Path Curvature,Path Planning,
Biography
Michael baumann received the B.Eng. degree in electrical engineering from Munich University of Applied Sciences, Munich, Germany, in 2012, and is currently working towards his M.Sc. degree. As a student assistant with B MW Group Research and Technology, his research interests focus on machine learning in the context of advanced driver assistance systems.