Academic literature on the topic 'Estimation par horizon mobile'

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Journal articles on the topic "Estimation par horizon mobile"

1

Wang, Xuezhi, Branko Ristic, Braham Himed, and Bill Moran. "Trajectory Optimisation for Cooperative Target Tracking with Passive Mobile Sensors." Signals 2, no. 2 (2021): 174–88. http://dx.doi.org/10.3390/signals2020014.

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The paper considers the problem of tracking a moving target using a pair of cooperative bearing-only mobile sensors. Sensor trajectory optimisation plays the central role in this problem, with the objective to minimize the estimation error of the target state. Two approximate closed-form statistical reward functions, referred to as the Expected Rényi information divergence (RID) and the Determinant of the Fisher Information Matrix (FIM), are analysed and discussed in the paper. Being available analytically, the two reward functions are fast to compute and therefore potentially useful for longe
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Liu, Andong, Wen-An Zhang, Michael Z. Q. Chen, and Li Yu. "Moving Horizon Estimation for Mobile Robots With Multirate Sampling." IEEE Transactions on Industrial Electronics 64, no. 2 (2017): 1457–67. http://dx.doi.org/10.1109/tie.2016.2611458.

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Grishin, Vladimir A., and Igor A. Maslov. "Horizon Line Stability Observations over the Sea." Journal of Navigation 71, no. 2 (2017): 437–53. http://dx.doi.org/10.1017/s0373463317000650.

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Increasing the stability and reliability of navigation for mobile objects of different classes is becoming increasingly significant. Satellite navigation systems have a fundamental defect: a vulnerability to hacking and spoofing. Observation of the horizon line is significant for two applications. The first is stellar inertial navigation systems. In this case, the horizon line can be used for local vertical estimation. Errors in local vertical estimation directly affect coordinate errors. The second is correlation-extremal navigation based on the observed horizon line shape (when islands or co
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Yang, Kai, Zhensen Wu, Xing Guo, et al. "Estimation of co-channel interference between cities caused by ducting and turbulence." Chinese Physics B 31, no. 2 (2021): 024102. http://dx.doi.org/10.1088/1674-1056/ac339c.

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With the rapid development of the fifth-generation (5G) mobile communication technology, the application of each frequency band has reached the extreme, causing mutual interference between different modules. Hence, there is a requirement for detecting filtering and preventing interference. In the troposphere, over-the-horizon propagation occurs in atmospheric ducts and turbulent media. The effects of both ducting and turbulence can increase the probability of occurrence of long-distance co-channel interference (CCI), in turn, severely affecting the key performance indicators such as system acc
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SAKAETA, Kuniyuki, Kazuki KIMURA, Kenichiro NONAKA, and Kazuma SEKIGUCHI. "Mobile Robot Localization Integrating LRF Map-matching and Odometry Based on Moving Horizon Estimation Considering Singular Environments." Transactions of the Society of Instrument and Control Engineers 53, no. 6 (2017): 355–65. http://dx.doi.org/10.9746/sicetr.53.355.

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Chudá, J., M. Hunčaga, J. Tuček, and M. Mokroš. "THE HANDHELD MOBILE LASER SCANNERS AS A TOOL FOR ACCURATE POSITIONING UNDER FOREST CANOPY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 211–18. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-211-2020.

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Abstract. Nowadays it is important to shift positional accuracy of object measurements under the forest canopy closer to the accuracy standards for land surveys due to the requirements in the field of ecosystem protection, sustainable forest management, property relations, and land register. Simultaneously, it is desirable to use the technology of environmental data acquisition which is not time consuming and cost demanding. Global Navigation Satellite Systems (GNSS) are the most used for positioning today. However, the usefulness and also the accuracy of the measurements with this technology
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Souare, Mory. "Estimation suroptimale de la densité spectrale par projection adaptative : Application à l'estimation de l'ordre d'une moyenne mobile." Comptes Rendus Mathematique 346, no. 17-18 (2008): 999–1002. http://dx.doi.org/10.1016/j.crma.2008.07.019.

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Chudá, Juliána, Jozef Výbošťok, Julián Tomaštík, et al. "Prompt Mapping Tree Positions with Handheld Mobile Scanners Based on SLAM Technology." Land 13, no. 1 (2024): 93. http://dx.doi.org/10.3390/land13010093.

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In this study, we evaluated the performance of GeoSLAM ZEB Horizon and Stonex X120GO SLAM handheld mobile laser scanners (HMLS) to address two primary objectives. First, we aimed to assess and compare the accuracy of positioning achieved using HMLS instruments. Second, we sought to investigate the influencing factors and their impact on estimation accuracies. The factors influencing the accuracy of positioning in HMLS Simultaneous Localization and Mapping-aided solutions were defined, considering the scanner type, distance from the trajectory, forest structure, tree species, and Diameter at Br
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Park, Gwangsoo, Byungjin Lee, and Sangkyung Sung. "Integrated Pose Estimation Using 2D Lidar and INS Based on Hybrid Scan Matching." Sensors 21, no. 16 (2021): 5670. http://dx.doi.org/10.3390/s21165670.

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Point cloud data is essential measurement information that has facilitated an extended functionality horizon for urban mobility. While 3D lidar and image-depth sensors are superior in implementing mapping and localization, sense and avoidance, and cognitive exploration in an unknown area, applying 2D lidar is inevitable for systems with limited resources of weight and computational power, for instance, in an aerial mobility system. In this paper, we propose a new pose estimation scheme that reflects the characteristics of extracted feature point information from 2D lidar on the NDT framework f
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Bouchafa, Samia. "Décision cumulative pour la vision dynamique des systèmes." Revue Française de Photogrammétrie et de Télédétection, no. 202 (April 16, 2014): 2–26. http://dx.doi.org/10.52638/rfpt.2013.48.

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Les travaux présentés dans cette synthèse portent essentiellement sur l'analyse de scènes à partir de caméras mobiles avec pour application immédiate l'apport d'une vision par ordinateur efficace dans les systèmes autonomes. Ils sont le fruit d'une décennie de recherches menées d'abord à l'INRETS (actuellement IFSTTAR : Institut français des sciences et technologies des transports, de l'aménagement et des réseaux ) puis à l'Université Paris Sud XI (Institut d'Électronique Fondamentale). L'idée initiale est que l'autonomie d'un système implique, ne serait-ce que pour raisons énergétiques, une f
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