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IMM-Based Multiple Object Tracking with State Prediction Neural Network
A new arXiv paper proposes combining Interacting Multiple Model (IMM) filtering with a state prediction neural network for multiple object tracking in autonomous driving. The approach targets radar sensing, which keeps working in poor weather and provides relative velocity via the Doppler effect. The work aims to improve tracking robustness for obstacle avoidance and route planning.