A survey of recent advances in particle filters and remaining challenges for multitarget tracking
X Wang, T Li, S Sun, JM Corchado - Sensors, 2017 - mdpi.com
We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …
the last decade in the context of target tracking, with regard to either a single target or …
Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond
Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …
devoted to time series state space models for a large variety of dynamic estimation …
An improved particle filter with a novel hybrid proposal distribution for quantitative analysis of gold immunochromatographic strips
In this paper, a novel statistical pattern recognition method is proposed for accurately
segmenting test and control lines from the gold immunochromatographic strip (GICS) …
segmenting test and control lines from the gold immunochromatographic strip (GICS) …
Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking
Two fundamental approaches to information averaging are based on linear and logarithmic
combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing …
combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing …
A novel approach to information fusion in multi-source datasets: A granular computing viewpoint
Abstract The advent of Big Data has seen both the sources and volumes of data increase
rapidly. A multi-source information system can be used to represent information drawn from …
rapidly. A multi-source information system can be used to represent information drawn from …
A multi-source information fusion model for outlier detection
Multi-source information fusion (MSIF) is a useful strategy for combining complimentary data
from numerous information sources to produce an overall precise description, which can …
from numerous information sources to produce an overall precise description, which can …
Joint smoothing and tracking based on continuous-time target trajectory function fitting
This paper presents a joint trajectory smoothing and tracking framework for a specific class
of targets with smooth motion. We model the target trajectory by a continuous function of time …
of targets with smooth motion. We model the target trajectory by a continuous function of time …
Spatio-temporal Gaussian process models for extended and group object tracking with irregular shapes
Extended object tracking has become an integral part of many autonomous systems during
the last two decades. For the first time, this paper presents a generic spatio-temporal …
the last two decades. For the first time, this paper presents a generic spatio-temporal …
Radar perception in autonomous driving: Exploring different data representations
With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …
Obtaining world coordinate information of UAV in GNSS denied environments
C Chen, YY Tian, L Lin, SF Chen, HW Li, YX Wang… - Sensors, 2020 - mdpi.com
GNSS information is vulnerable to external interference and causes failure when unmanned
aerial vehicles (UAVs) are in a fully autonomous flight in complex environments such as …
aerial vehicles (UAVs) are in a fully autonomous flight in complex environments such as …