Maneuvering road object tracking with the IMM algorithm and an imaging radar sensor
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This paper summarizes how an interacting multiple model (IMM) algorithm uses measurements from an imaging radar sensor to estimate the dynamic state of a maneuvering road object with unknown control inputs.
Written as a final project for the excellent AA273 class State Estimation and Filtering for Robotic Perception, part of the Stanford Robotics and Autonomous Systems program.







