Results 61 to 70 of about 4,346 (236)
Adaptive Multi-target Tracking Algorithm with Unknown Detection Probability [PDF]
Jisuanji gongcheng, 2017 In order to accurately model the system detection probability in a complex background,a Multi-Target Tracking(MTT) method with unknown detection probability is proposed.The detection probability is modeled by the Time Varying AutoRegressive(TVAR) process.
LIU Jun,YUAN Peiyan,QIU Hao
doaj +1 more source
The histogram Poisson, lab ele d multi-Bernoulli multi-target tracking filter [PDF]
, 2020 A Random Finite Set (RFS) based multi-target filter is proposed, which utilizes a labeled Multi-Bernoulli distribution to model the multi-target state, together with a Poisson RFS distribution to model target birth.
Cament Riveros, Leonardo +3 more
core +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Robust multi-sensor generalized labeled multi-Bernoulli filter [PDF]
, 2022 This paper proposes an efficient and robust algorithm to estimate target trajectories with unknown target detection profiles and clutter rates using measurements from multiple sensors.
Nguyen, Hoa Van +2 more
core +1 more source
Advanced Intelligent Systems, EarlyView.System identification and particle image velocimetry reveal how a modular robotic fish changes thrust physics across gaits. A traveling‐wave, fish‐like motion draws thrust from resistive drag, while a resonant standing‐wave motion is driven by reactive pressure.
Donghao Li +4 more
wiley +1 more source
The Labeled Multi-Bernoulli Filter for Jump Markov Systems Under Glint Noise
IEEE Access, 2019 This paper proposes a novel labeled multi-Bernoulli (LMB) filter for jump Markov systems (JMS) to track the multiple maneuvering objects under glint noise.
Zong-Xiang Liu, Bing-Jian Huang
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Investigation on tunnel stability considering pipe‐roof support with transparent soil technology
Deep Underground Science and Engineering, EarlyView.This study integrates transparent soil technology, 3D reconstruction and numerical simulation to captures the full‐field deformation of shield tunnel instability. Results demonstrate that pipe‐roof support enhances stability via the “soil‐arching barrier effect,” effectively restraining failure wedge development by extending stress transfer paths ...
Zhi Jia +4 more
wiley +1 more source
δ-GLMB filter based on DI in a clutter
The Journal of Engineering, 2019 For the problem that the performance of existing multi-target tracking algorithm's serious degrades in a dense clutter environment, a novel Doppler information assistant δ-generalised labelled multi-Bernoulli (DI-δ-GLMB) filter is proposed.
Hua-fu Peng +3 more
doaj +1 more source
Hybrid Poisson and multi-Bernoulli filters
CoRR, 2012 Submitted to 15th International Conference on Information Fusion (2012)
openaire +3 more sources
Bernoulli filter for range and Doppler ambiguous radar
IET Signal Processing, 2015 A pulse Doppler radar worked in medium or high pulse repetition frequency (PRF) may suffer from range and Doppler ambiguities. The common method to solve ambiguities is to use multiple PRFs and do correlation between them. The ghosting problem may be caused by the false alarms in the correlation.
Fei Cai +3 more
openaire +1 more source