Results 31 to 40 of about 39,931 (297)
PHACT: parallel HOG and correlation tracking [PDF]
, 2014 Histogram of Oriented Gradients (HOG) based methods for the detection of humans have become one of the most reliable methods of detecting pedestrians with a single passive imaging camera. However, they are not 100 percent reliable. This paper presents an
Birch, Philip +3 more
core +1 more source
Online Correction Method for Ratio Methods by Using Geomagnetic Sensors Based on Kalman Filter
IEEE Access, 2019 By eliminating the data offset caused by a disturbing magnetic field during the flying condition of a spinning projectile, an adaptive unscented Kalman filter is applied to estimate the actual data of a geomagnetic field and the false value introduced by
Wei Wang, Yulin Liu
doaj +1 more source
IEEE AccessAutonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency.
Heyi Muluneh Hailu +2 more
doaj +1 more source
Advances in Mechanical Engineering, 2017 The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou +3 more
doaj +1 more source
Ensemble Kalman filtering with residual nudging: an extension to state estimation problems with nonlinear observation operators [PDF]
, 2014 The ensemble Kalman filter (EnKF) is an efficient algorithm for many data assimilation problems. In certain circumstances, however, divergence of the EnKF might be spotted.
Hoteit, Ibrahim, Luo, Xiaodong
core +2 more sources
Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers
International Journal of Distributed Sensor Networks, 2014 The problem of consensus-based distributed tracking in wireless sensor networks (WSNs) with switching network topologies and outlier-corrupted sensor observations is considered.
Yan Zhou +3 more
doaj +1 more source
Covariance inflation in the ensemble Kalman filter: a residual nudging perspective and some implications [PDF]
, 2013 This note examines the influence of covariance inflation on the distance between the measured observation and the simulated (or predicted) observation with respect to the state estimate. In order for the aforementioned distance to be bounded in a certain
Hoteit, Ibrahim, Luo, Xiaodong
core +2 more sources
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source
Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors
IEEE Open Journal of Intelligent Transportation SystemsThis contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
doaj +1 more source
Cross-coupled doa trackers [PDF]
, 1997 A new robust, low complexity algorithm for multiuser tracking is proposed, modifying the two-stage parallel architecture of the estimate-maximize (EM) algorithm.
Kirlin, R L +2 more
core +2 more sources