Results 11 to 20 of about 94,318 (256)
Multi-Target State and Extent Estimation for High Resolution Automotive Sensor Detections
Sensors, 2022 This paper discusses the perception and tracking of individual as well as group targets as applied to multi-lane public traffic. Target tracking problem is formulated as a two hierarchical layer problem—on the first layer, a multi-target tracking problem
Andinet Hunde
doaj +1 more source
Extended emitter target tracking using GM-PHD filter. [PDF]
PLoS ONE, 2014 If equipped with several radar emitters, a target will produce more than one measurement per time step and is denoted as an extended target. However, due to the requirement of all possible measurement set partitions, the exact probability hypothesis ...
Youqing Zhu +4 more
doaj +1 more source
Multiple extended target tracking by truncated JPDA in a clutter environment
IET Signal Processing, 2021 Data association is a crucial part of target tracking systems with clutter measurements. In general, its complexity increases sharply with a number of targets and measurements. Recently, high‐resolution sensors have given rise to extended target tracking
Qinlei Li, Liping Song, Yongquan Zhang
doaj +1 more source
Track-before-detect algorithm for tracking extended targets [PDF]
IEE Proceedings - Radar, Sonar and Navigation, 2006 For certain types of sensor-target configurations, a point target model or approach is not suitable and the physical extent of the target is accounted for during processing. An extended target track-before-detect (TBD) algorithm is presented and the performance is compared to an algorithm based on the point target assumption. Simulations illustrate the
Y. Boers +5 more
openaire +1 more source
Sensors, 2019 The extended target probability hypothesis density (ET-PHD) filter cannot work well if the density of measurements varies from target to target, which is based on the measurement set partitioning algorithms employing the Mahalanobis distance between ...
Yulan Han, Chongzhao Han
doaj +1 more source
IEEE Access, 2023 Extended target tracking estimates the centroid and shape of the target in space and time. In various situations where extended target tracking is applicable, the presence of multiple targets can lead to interference, particularly when they maneuver ...
Behzad Akbari +3 more
doaj +1 more source
A Gaussian mixture PHD filter for extended target tracking [PDF]
2010 13th International Conference on Information Fusion, 2010 In extended target tracking, targets potentially produce more than one measurement per time step. Multiple extended targets are therefore usually hard to track, due to the resulting complex data association. The main contribution of this paper is the implementation of a Probability Hypothesis Density (PHD) filter for tracking of multiple extended ...
Granström, Karl +2 more
openaire +5 more sources
Tracking of Maneuvering Star-Convex Extended Target Using Modified Adaptive Extended Kalman Filter
IEEE Access, 2020 Tracking extended targets aims to estimate the kinematic state and shape of the target of interest with a varying number of noisy detections received by a sensor.
Tianli Ma +3 more
doaj +1 more source
Leida xuebao, 2023 To reduce the probability of UAV (Unmanned Aerial Vehicle) being destroyed during a reconnaissance mission, this study proposes an effective path planning algorithm to reduce the target threat.
Hui CHEN, Fengqi WEI, Chongzhao HAN
doaj +1 more source
A Novel MS-MeMBer Filter for Extended Targets Tracking [PDF]
IEEE Access, 2020 Conventional multi-sensor multi-target multi-Bernoulli (MS-MeMBer) filters are based on the assumption that each target produces at most one measurement per time step. However, this assumption is not always reasonable in practice as an extended target can generate multiple measurements per step due to the recent improvement in the sensor resolution. In
Zhiguo Zhang 0003 +4 more
openaire +2 more sources