Tutorial: Multitarget Tracking and Multisensor Information Fusion: Recently Developed Advanced Algorithms

Tutorial: Graph based, Localization, tracking and mapping

Tutorial: Introduction to Sensor Management

Tutorial: Multi sensor and Data Fusion Approaches for Vehicular Automation Applications - Autonomous Driving: Concepts, Implements and Evaluation

Lunch

Tutorial: An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter

Tutorial: Poisson multi-Bernoulli mixtures for multiple target tracking

Tutorial: Context-enhanced Information Fusion

Tutorial: Decision Making Under Risk, Uncertainty, and Ignorance.

Tutorial: Stone Soup: an open source tracking and state estimation framework; principles, use and applications (Part 1)

Coffee Break

Tutorial: Algorithms for Estimation of Noise Parameters in State Space Models

Tutorial: Analytic Combinatorics for Multiple Object Tracking

Tutorial: Subjective Logic and Bayesian Belief Reasoning

Tutorial: Multisensor Data Fusion for Industry 4.0

Tutorial: Stone Soup: an open source tracking and state estimation framework; principles, use and applications (Part 2)