Maneuvering road object tracking with the IMM algorithm and an imaging radar sensor
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.