Proliferation of low-cost, lightweight, and power efficient sensors and advances in networked
systems enable the employment of multiple sensors. Distributed estimation provides a …

With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

Due to the localization accuracy of global positioning system (GPS) cannot meet the
requirements in indoor environment, the wireless sensor network (WSN) techniques are …

Object tracking is a key technology in the field of intelligent vehicle environmental
perception. Accurate and efficient object tracking technologies provide autonomous vehicles …

The Long Short-Term Memory (LSTM) neural network based data association algorithm
named as DeepDA for multi-target tracking in clutter is proposed to deal with the NP-hard …

This paper investigates the problem of distributed multitarget tracking (MTT) over a large-
scale sensor network, consisting of low-cost sensors. Each local sensor runs a joint …

Multiple-target tracking has increasingly gained attention over the last 60 years, with the
data association task being one of the most challenging aspects in sensor data fusion due to …

Conventional passive tracking methods for underwater acoustic targets in sonar engineering
generate time azimuth histogram and use it as a basis for target azimuth and tracking …

The proposed work uses fixed lag smoothing on the interactive multiple model-integrated
probabilistic data association algorithm (IMM-IPDA) to enhance its performance. This …

Vessel speed and heading are two important kinematic parameters describing its state of
motion. However, due to low spatial resolution of a compact high-frequency surface wave …