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Michael Aeberhard
Also published under:
Affiliation
BMW AG, Munich, Germany
Topic
Advanced Driver Assistance Systems,Lane Change,Driver Assistance,Highway,Object Detection,Path Planning,Vehicle Environment,Autonomous Vehicles,Bayesian Model,Cost Function,Front Vehicle,Future Motion,Lane Change Maneuver,Lateral Motion,Longitudinal Motion,Motion Prediction,Multiple Time Steps,Optimization Problem,Pedestrian,Test Track,Time Step,Traffic Rules,Vehicle Control,Vehicular Ad Hoc Networks,Absolute Velocity,Additional Constraints,Automated Vehicles,Azimuth Angle,Bayesian Classifier,Bellman Equation,Calibration Results,Camera Coordinate,Camera Coordinate System,Camera Orientation,Checkers,Class Information,Class Probabilities,Class Vector,Classifier Fusion,Clustering Component,Collision Risk,Complete Procedure,Complex Scenarios,Computation Time,Constant Velocity,Cooperative Behavior,Coordinate System,Critical Situations,Curse Of Dimensionality,Decision Tree,
Biography
Michael Aeberhard was born in Lausanne, Switzerland, on December 5,
1983. He received the Bachelor of Science degree in computer engineering from Georgia Institute of Technology, Atlanta,
GA, USA, in 2007; the Master of Science degree in electrical and computer engineering from Georgia Institute of
Technology, Metz, France, in 2009; and the Master Professionnel degree from École Supérieure
d'Électricité (Supélec), Metz, France, in 2009. He is currently working toward the Doctoral degree
in engineering (Dr.-Ing.) with Technische Universität Dortmund, Dortmund, Germany, in conjunction with BMW Group
Research and Technology, Munich, Germany. Since 2012, he has been also a Subproject Leader for highly automated driving
with BMW Group Research and Technology. His research interests include sensor data fusion, multiobject tracking,
environment perception, and functional development for advanced driver assistance systems and highly automated driving.