Automotive radar tracking system
Project outside the universityNXP Semiconductors, Eindhoven
Automotive radar is a key element of future autonomous vehicles. The radar sensor output is processed by a tracking system (variants of the Kalman filter) to improve its accuracy and robustness. In this assignment we strive to implement and test such a system. To this extend a 79 GHz radar front-end with raw data processing is available. The raw data can be easily accessed through Matlab or �C�. The implemented filter can then be tested using a target simulator and on real targets in an outdoor scenario (t.b.d.).
Clustering and measurement to track association requirements for the tracking filter.
What happens when multiple targets are present in a single cluster
From a system partitioning point of view the data rate to a host MCU is of interest, how much data reduction can obtained with a tracking filter (clutter, false positive detections etc..)?
Company: NXP Semiconductors
Assignment duration 6 to 9 months.
prof.dr. Alexander Yarovoy
Microwave Sensing, Signals and Systems Group
Department of Microelectronics
Last modified: 2017-03-28