MA5a.4

Active Learning for Adaptive Sensing with Applications in Automotive Radar

Parthasarathi Khirwadkar, University of California San Diego, United States; Robin Rajamaki, Aalto University, Finland; Piya Pal, University of California San Diego, United States
Session:
MA5a: Advanced Signal Processing and Machine Learning for Automotive Radar Sensing Lecture
Track:
Array Processing and Multisensor Systems
Location:
Toyon
Presentation Time:
Mon, 27 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA5a
MA5a.1: Surface Recovery from Phaseless Measurements in Automotive Radar
Andrés Felipe Jerez, Jonathan Arley Monsalve Salazar, Universidad de Investigacion y Desarrollo, Colombia; Kumar Vijay Mishra, United States DEVCOM Army Research Laboratory, United States
MA5a.2: MIMO Radar Calibration Using Null Space Method
Baokun Liu, NXP, United States; Ivan Selesnick, New York University, United States; Ryan Wu, Jun Li, NXP, United States
MA5a.3: Joint 4D Parameter Estimation for Automotive MIMO Radar Using Beamspace ESPRIT
Ruxin Zheng, The University of Alabama, United States; Damir Rakhimov, Ilmenau University of Technology, Germany; Shunqiao Sun, The University of Alabama, United States; Martin Haardt, Ilmenau University of Technology, Germany
MA5a.4: Active Learning for Adaptive Sensing with Applications in Automotive Radar
Parthasarathi Khirwadkar, University of California San Diego, United States; Robin Rajamaki, Aalto University, Finland; Piya Pal, University of California San Diego, United States
Contacts