clutter resilience 1doppler measurement 1multi-object tracking 1radar point clouds 1real-time processing 1variational inference 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
PiVoT: A Variational Solution for Real-time Large-scale Multi-object Detection and Tracking under Heavy Clutter
Runze Gan, Qing Li, Simon J. Godsill +2
PiVoT is a training‑free variational inference framework that jointly detects and tracks many objects in noisy radar point clouds, handling heavy clutter, Doppler measurements, and…
eess.SP2025
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks
Qing Li, Runze Gan, James R. Hopgood +2
In this paper, we present a novel distributed expectation propagation algorithm for multiple sensors, multiple objects tracking in cluttered environments. The proposed framework en…
stat.ML2024
Data-Driven Approaches for Modelling Target Behaviour
Isabel Schlangen, André Brandenburger, Mengwei Sun +1
The performance of tracking algorithms strongly depends on the chosen model assumptions regarding the target dynamics. If there is a strong mismatch between the chosen model and th…