This tutorial introduces state-of-the-art methods for tracking multiple spatially extended
objects based on unlabeled noisy point clouds, eg, from radar or lidar sensors. In the first …

This paper proposes a new adaptive framework for tracking multiple objects in the presence
of data association uncertainty and heavy clutter, either with or without knowledge of the …

This paper proposes a belief propagation (BP)-based algorithm for sequential detection and
estimation of multipath component (MPC) parameters based on radio signals. Under …

Cooperative localization (CL) is an important technology for innovative services such as
location-aware communication networks, modern convenience, and public safety. We …

Tracking moving objects is one of the most promising yet the most challenging research
areas pertaining to computer vision, pattern recognition and image processing. The …

Algorithmic solutions for multi-object tracking (MOT) are a key enabler for applications in
autonomous navigation and applied ocean sciences. State-of-the-art MOT methods fully rely …

This paper presents a factor graph formulation and particle-based sum-product algorithm
(SPA) for robust sequential localization in multipath-prone environments. The proposed …

Localization and tracking of marine animals can reveal key insights into their behaviors
underwater that would otherwise remain unexplored. A promising nonintrusive approach to …