In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …

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

Indoor localization is challenging in densely populated urban areas due to the multipath
effect, attenuation, noise, and difficulty finding reliable Wi-Fi access points. In urban flats …

An adaptive unscented Kalman filter (AUKF) and an augmented state method are employed
to estimate the time-varying parameters and states of a kind of nonlinear high-speed objects …

To improve the low tracking precision caused by lagged filter gain or imprecise state noise
when the target highly maneuvers, a modified unscented Kalman filter algorithm based on …

针对北斗卫星导航系统(Beidou Navigation Satellite System, BDS)/惯性导航系统(Inertial
Navigation System, INS) 列车定位模型不准确和噪声统计特性不明导致定位精度低的问题 …

针对标准无迹卡尔曼滤波(UKF) 定位算法无法满足移动机器人在不平整地面运动时高精度定位
要求的问题, 结合抗差估计理论, 提出了一种自适应鲁棒无迹卡尔曼滤波器(ARUKF) 定位算法 …

In this paper, we are concerned with the problem of non‐myopic sensor scheduling as a
partially observable Markov decision process in which available sensors are assigned …

Robust visual tracking is imperative to track multiple occluded objects. Kalman filter and
color information tracking algorithms are implemented independently in most of the current …

Visual tracking can be treated as an optimization problem. A new meta-heuristic optimal
algorithm, Harmony Search (HS), was first applied to perform visual tracking by Fourie et al …