
Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Michael Barjenbruch
Also published under:M. Barjenbruch
Affiliation
Daimler AG, Trucks Advanced Engineering, Stuttgart, Germany
Topic
Radar Sensor,Advanced Driver Assistance Systems,Doppler Radar,Degrees Of Freedom,Velocity Profile,Yaw Rate,Azimuth Angle,Inertial Measurement Unit,Motion State,Rear Axle,Velocity Vector,Covariance Matrix,Ego-motion Estimation,High-resolution Radar,Position Error,Sensor Locations,Signal Processing,Single Sensor,Target State,Cartesian Space,Center Of Rotation,Coordinate System,Discrete Fourier Transform,Field Of View,Grid Cells,Inliers,Iterative Closest Point,Kalman Filter,Laser Scanning,Longitudinal Velocity,Motion Estimation,Motion Parameters,Optimal Function,Pedestrian,Point Cloud,Probability Density Function,Radial Distance,Random Sample Consensus,Real-world Measurements,Registration Performance,Rigid Transformation,Root Mean Square Error,Scoring Function,Smooth Function,Stereopsis,System Of Linear Equations,Systematic Errors,Target Vehicle,Unscented Kalman Filter,Velocity Estimation,
Biography
Michael Barjenbruch (S'15) was born in Hannover, Germany in 1986. He
received the Dipl.Ing. degree in electrical engineering from Leibniz University, Hannover, Germany, in 2011. He is
currently working toward the Ph.D. degree at Ulm University, Ulm, Germany.
His research interests include radar signal processing and vehicle environment perception.
His research interests include radar signal processing and vehicle environment perception.