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標(biāo)題: Titlebook: Distributed Consensus with Visual Perception in Multi-Robot Systems; Eduardo Montijano,Carlos Sagüés Book 2015 Springer International Publ [打印本頁]

作者: Mottled    時間: 2025-3-21 20:10
書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems影響因子(影響力)




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems影響因子(影響力)學(xué)科排名




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems網(wǎng)絡(luò)公開度




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems被引頻次




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems被引頻次學(xué)科排名




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems年度引用




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems年度引用學(xué)科排名




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems讀者反饋




書目名稱Distributed Consensus with Visual Perception in Multi-Robot Systems讀者反饋學(xué)科排名





作者: 幻想    時間: 2025-3-21 22:11
Distributed Consensus with Visual Perception in Multi-Robot Systems
作者: 凹處    時間: 2025-3-22 01:46

作者: OVERT    時間: 2025-3-22 08:24

作者: 分離    時間: 2025-3-22 12:35
Cooperative Topological Map Building Using Distributed Consensus,us method multiplying different homographies. Finally, homographies between images can be computed without knowing the internal parameters of the cameras, which makes the approach robust to calibration issues. The result is a simple but very effective distributed algorithm that creates a global map
作者: FLIRT    時間: 2025-3-22 16:18

作者: FLIRT    時間: 2025-3-22 20:40
lk-data handling.Verifies performance of algorithms by exper.This monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central propositio
作者: Madrigal    時間: 2025-3-22 21:29

作者: 節(jié)約    時間: 2025-3-23 02:56

作者: AWL    時間: 2025-3-23 05:41

作者: vasospasm    時間: 2025-3-23 12:20
https://doi.org/10.1007/978-1-4684-6521-1ence speed to reach the consensus. Then we have used these algorithms to study a distributed solution based on consensus to the problem of cooperatively build a topological map of the environment. Conclusions obtained throughout this work are finally summarized in this chapter.
作者: 啪心兒跳動    時間: 2025-3-23 14:00

作者: Arrhythmia    時間: 2025-3-23 20:55
Robotic Networks and the Consensus Problem,orithms based on linear iterations and the application of this kind of algorithms to achieve the consensus using different weights. To conclude the chapter, we show some examples of different consensus applications solved using linear iterations.
作者: overture    時間: 2025-3-23 23:42

作者: Osteoarthritis    時間: 2025-3-24 05:44
https://doi.org/10.1007/978-1-4684-6521-1 We formally demonstrate the main properties of the algorithm and prove that after executing our method, the team of robots finishes with a globally consistent data association. The performance of the algorithm is tested with extensive simulations and real images at the end of the chapter.
作者: charisma    時間: 2025-3-24 08:10
https://doi.org/10.1007/978-1-4684-6521-1e the main properties of the algorithm for both, fixed and switching communication topologies. Additionally, we provide a second algorithm for the adaptive selection of the parameters to optimize the convergence rate. We validate the studied method with extensive simulations.
作者: 出生    時間: 2025-3-24 10:56
The Data Association Problem, We formally demonstrate the main properties of the algorithm and prove that after executing our method, the team of robots finishes with a globally consistent data association. The performance of the algorithm is tested with extensive simulations and real images at the end of the chapter.
作者: 妨礙議事    時間: 2025-3-24 18:50
Fast Consensus with Chebyshev Polynomials,e the main properties of the algorithm for both, fixed and switching communication topologies. Additionally, we provide a second algorithm for the adaptive selection of the parameters to optimize the convergence rate. We validate the studied method with extensive simulations.
作者: 圣歌    時間: 2025-3-24 22:30

作者: elastic    時間: 2025-3-24 23:39

作者: morale    時間: 2025-3-25 05:24

作者: COST    時間: 2025-3-25 11:10

作者: 讓你明白    時間: 2025-3-25 15:31
https://doi.org/10.1007/978-1-4684-6521-1 network must be able to fuse its perception of the world in a robust way. Data association mistakes and measurement errors are some of the factors that can contribute to an incorrect consensus value. In this chapter, we present a distributed scheme for robust consensus in autonomous robotic network
作者: 克制    時間: 2025-3-25 17:10
https://doi.org/10.1007/978-1-4684-6521-1d averaging methods usually have a slow convergence rate. In this chapter, we analyze the use of Chebyshev polynomials in the distributed consensus problem to reduce the number of iterations required to achieve a good consensus. We present a distributed linear iteration using these polynomials that
作者: Glucose    時間: 2025-3-25 20:16

作者: obeisance    時間: 2025-3-26 01:10

作者: 全神貫注于    時間: 2025-3-26 07:39

作者: Reclaim    時間: 2025-3-26 11:04
http://image.papertrans.cn/e/image/281869.jpg
作者: conservative    時間: 2025-3-26 14:15
https://doi.org/10.1007/978-3-319-15699-6Camera Networks; Cooperative Perception; Distributed Algorithms; Distributed Computer Vision; Distribute
作者: Substitution    時間: 2025-3-26 20:19

作者: hypnotic    時間: 2025-3-26 22:22

作者: 改正    時間: 2025-3-27 02:16

作者: 宮殿般    時間: 2025-3-27 09:08
Robotic Networks and the Consensus Problem,c network. First, we describe the robots we will use and their way to interact with each other and with the world. Then, we express the communications of the network using fixed and time-varying graphs and we give some definitions of interest. After that, in the chapter we review the distributed alg
作者: achlorhydria    時間: 2025-3-27 11:19

作者: Libido    時間: 2025-3-27 15:34
,: Distributed Robust Consensus, network must be able to fuse its perception of the world in a robust way. Data association mistakes and measurement errors are some of the factors that can contribute to an incorrect consensus value. In this chapter, we present a distributed scheme for robust consensus in autonomous robotic network
作者: Affection    時間: 2025-3-27 19:27

作者: 壟斷    時間: 2025-3-27 22:19

作者: paradigm    時間: 2025-3-28 02:08
Conclusions,allow a team of robots equipped with monocular cameras achieve a consensus in different perception tasks. We have placed a great effort in three issues related with this problem, the data association of the features observed by the different robots, the identification of the outliers and the converg
作者: muffler    時間: 2025-3-28 10:01





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