Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
Cooperative robotic networks for underwater surveillance: an overview
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …
undersea manned vessels equipped with advanced sensor systems. This approach is often …
Multiple hypothesis tracking for multiple target tracking
SS Blackman - IEEE Aerospace and Electronic Systems …, 2004 - ieeexplore.ieee.org
Multiple hypothesis tracking (MHT) is generally accepted as the preferred method for solving
the data association problem in modern multiple target tracking (MTT) systems. This paper …
the data association problem in modern multiple target tracking (MTT) systems. This paper …
Survey of maneuvering target tracking. Part V. Multiple-model methods
This is the fifth part of a series of papers that provide a comprehensive survey of techniques
for tracking maneuvering targets without addressing the so-called measurement-origin …
for tracking maneuvering targets without addressing the so-called measurement-origin …
[PDF][PDF] Engineer's guide to variable-structure multiple-model estimation for tracking
Target tracking is a hybrid estimation problem involving both continuous and discrete
uncertainties [31]. In the prevailing approaches to target tracking, the modeling of the target …
uncertainties [31]. In the prevailing approaches to target tracking, the modeling of the target …
Kalman filtering with nonlinear state constraints
An analytic method was developed by D. Simon and TL Chia to incorporate linear state
equality constraints into the Kalman filter. When the state constraint was nonlinear …
equality constraints into the Kalman filter. When the state constraint was nonlinear …
Fingerprinting localization in wireless networks based on received-signal-strength measurements: A case study on WiMAX networks
This paper considers the problem of fingerprinting localization in wireless networks based
on received-signal-strength (RSS) observations. First, the performance of static localization …
on received-signal-strength (RSS) observations. First, the performance of static localization …
Road-map assisted ground moving target tracking
Tracking ground targets with airborne GMTI (ground moving target indicator) sensor
measurements proves to be a challenging task due to high target density, high clutter, and …
measurements proves to be a challenging task due to high target density, high clutter, and …
Context-based information fusion: a survey and discussion
This survey aims to provide a comprehensive status of recent and current research on
context-based Information Fusion (IF) systems, tracing back the roots of the original thinking …
context-based Information Fusion (IF) systems, tracing back the roots of the original thinking …
Self-tuning algorithms for multisensor-multitarget tracking using belief propagation
Situation-aware technologies enabled by multitarget tracking algorithms will create new
services and applications in emerging fields such as autonomous navigation and maritime …
services and applications in emerging fields such as autonomous navigation and maritime …