Results 81 to 90 of about 199,372 (271)
Variational Bayesian Based Adaptive Shifted Rayleigh Filter for Bearings-Only Tracking in Clutters
Sensors, 2019 This paper considers bearings-only target tracking in clutters with uncertain clutter probability. The traditional shifted Rayleigh filter (SRF), which assumes known clutter probability, may have degraded performance in challenging scenarios.
Jing Hou, Yan Yang, Tian Gao
doaj +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Advanced Intelligent Systems, EarlyView.Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Sensors, 2006 The performance of weak gaseous plume-detection methods in hyperspectral long-wave infrared imagery depends on scene-specific conditions such at the ability to properly estimate atmospheric transmission, the accuracy of estimated chemical signatures, and
Nicolas Hengartner, Tom Burr
doaj +1 more source
Robust Wiener filter‐based time gating method for detection of shallowly buried objects
IET Signal Processing, 2021 A robust method for ultra‐wideband (UWB) imaging of buried shallow objects based on time gating, Wiener filtering, as well as constant false alarm rate (CFAR) is proposed.
Ali Gharamohammadi +3 more
doaj +1 more source
Elastic Fast Marching Learning from Demonstration
Advanced Intelligent Systems, EarlyView.This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Cumulative object categorization in clutter [PDF]
, 2013 In this paper we present an approach based on scene- or part-graphs for geometrically categorizing touching and occluded objects. We use additive RGBD feature descriptors and hashing of graph configuration parameters for describing the spatial ...
Balint-Benczedi, Ferenc +4 more
core
Advanced Intelligent Systems, EarlyView.A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Detection of very close targets by fusion CFAR detectors [PDF]
Scientific Technical Review, 2016 In this paper the new application results of Linear and NonLinear Fusion Constant False Alarm Rate (LF-CFAR and NLF- CFAR) detectors are presented. Detection of very close targets per azimuth and per range is considered.
Ivković Dejan +2 more
doaj
Ground clutter suppression method based on FNN for dual-polarisation weather radar
The Journal of Engineering, 2019 Conventional clutter suppression methods in the field of precipitation detection generally use fixed parameters, resulting in poor clutter suppression in complex weather conditions and regional environments.
Hai Li, Jiawei Ren, Jungong Han, Yi Fan
doaj +1 more source
Space-time Characteristics and Experimental Analysis of Broadening First-order Sea Clutter in HF Hybrid Sky-surface Wave Radar [PDF]
, 2014 In high frequency (HF) hybrid sky-surface wave radar, the first-order sea clutter broadening is very complex and serious under the influence of ionosphere and bistatic angle, which affects the detection of ship target.
Chu, T.Q. +4 more
core +1 more source