Relevant bibliographies by topics / Limited sensing range

Academic literature on the topic 'Limited sensing range'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Limited sensing range"

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Yu, Hongjun, Peng Shi, and Cheng-Chew Lim. "Scalable formation control in stealth with limited sensing range." International Journal of Robust and Nonlinear Control 27, no. 3 (June 13, 2016): 410–33. http://dx.doi.org/10.1002/rnc.3579.

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Qi, Yifei, Peng Cheng, Jing Bai, Jiming Chen, Adrien Guenard, Ye-Qiong Song, and Zhiguo Shi. "Energy-Efficient Target Tracking by Mobile Sensors With Limited Sensing Range." IEEE Transactions on Industrial Electronics 63, no. 11 (November 2016): 6949–61. http://dx.doi.org/10.1109/tie.2016.2584000.

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Rutzinger, M., B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, R. Sailer, M. Scaioni, J. Stötter, and D. Wujanz. "CLOSE-RANGE SENSING TECHNIQUES IN ALPINE TERRAIN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-6 (June 6, 2016): 15–22. http://dx.doi.org/10.5194/isprsannals-iii-6-15-2016.

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Early career researchers such as PhD students are a main driving force of scientific research and are for a large part responsible for research innovation. They work on specialized topics within focused research groups that have a limited number of members, but might also have limited capacity in terms of lab equipment. This poses a serious challenge for educating such students as it is difficult to group a sufficient number of them to enable efficient knowledge transfer. To overcome this problem, the Innsbruck Summer School of Alpine Research 2015 on close-range sensing techniques in Alpine terrain was organized in Obergurgl, Austria, by an international team from several universities and research centres. Of the applicants a group of 40 early career researchers were selected with interest in about ten types of specialized surveying tools, i.e. laser scanners, a remotely piloted aircraft system, a thermal camera, a backpack mobile mapping system and different grade photogrammetric equipment. During the one-week summer school, students were grouped according to their personal preference to work with one such type of equipment under guidance of an expert lecturer. All students were required to capture and process field data on a mountain-related theme like landslides or rock glaciers. The work on the assignments lasted the whole week but was interspersed with lectures on selected topics by invited experts. The final task of the summer school participants was to present and defend their results to their peers, lecturers and other colleagues in a symposium-like setting. Here we present the framework and content of this summer school which brought together scientists from close-range sensing and environmental and geosciences.
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Rutzinger, M., B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, R. Sailer, M. Scaioni, J. Stötter, and D. Wujanz. "CLOSE-RANGE SENSING TECHNIQUES IN ALPINE TERRAIN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-6 (June 6, 2016): 15–22. http://dx.doi.org/10.5194/isprs-annals-iii-6-15-2016.

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Early career researchers such as PhD students are a main driving force of scientific research and are for a large part responsible for research innovation. They work on specialized topics within focused research groups that have a limited number of members, but might also have limited capacity in terms of lab equipment. This poses a serious challenge for educating such students as it is difficult to group a sufficient number of them to enable efficient knowledge transfer. To overcome this problem, the Innsbruck Summer School of Alpine Research 2015 on close-range sensing techniques in Alpine terrain was organized in Obergurgl, Austria, by an international team from several universities and research centres. Of the applicants a group of 40 early career researchers were selected with interest in about ten types of specialized surveying tools, i.e. laser scanners, a remotely piloted aircraft system, a thermal camera, a backpack mobile mapping system and different grade photogrammetric equipment. During the one-week summer school, students were grouped according to their personal preference to work with one such type of equipment under guidance of an expert lecturer. All students were required to capture and process field data on a mountain-related theme like landslides or rock glaciers. The work on the assignments lasted the whole week but was interspersed with lectures on selected topics by invited experts. The final task of the summer school participants was to present and defend their results to their peers, lecturers and other colleagues in a symposium-like setting. Here we present the framework and content of this summer school which brought together scientists from close-range sensing and environmental and geosciences.
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Kurita, Eisuke, Yuichi Kobayashi, and Manabu Gouko. "Motion Generation by Integration of Multiple Observation Spaces for Robots with Limited Range of Observation." Advanced Materials Research 403-408 (November 2011): 4681–88. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4681.

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Sensors of robots that act in unstructured environment sometimes do not provide complete observation, due to occlusion or limitation of sensing range. This paper presents a motion generation method for robot with multiple sensors with limited sensing ranges. The proposed method introduce extension of the action- observation mapping to outside of the sensing range of a sensor, based on the diffusion-based learning of Jacobian matrices between control input and observation variable. Multiple observation spaces can be integrated by finding correspondence between the virtual observation spaces. When a target observation variable is given to the robot, it can generate a motion from an observation space to- ward the target with another observation space using the extended observation space. The proposed framework is verified by two robot tasks, reaching motion toward the floor with a manipulator and navigation of mobile robot around the wall. In both cases, observation space by camera with limited view was extended and appropriate motion trajectories were obtained.
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Xie, Binbin, Yuqing Yin, and Jie Xiong. "Pushing the Limits of Long Range Wireless Sensing with LoRa." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (September 9, 2021): 1–21. http://dx.doi.org/10.1145/3478080.

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Wireless sensing is an exciting new research area which enables a large variety of applications ranging from coarse-grained daily activity recognition to fine-grained vital sign monitoring. While promising in many aspects, one critical issue is the limited sensing range because weak reflection signals are used for sensing. Recently, LoRa signals are exploited for wireless sensing, moving a big step towards long-range sensing. Although promising, there is still a huge room for improvement. In this work, we qualitatively characterize the relationship between target movements and target-induced signal variations, and propose signal processing methods to enlarge the induced signal variation to achieve a longer sensing range. Experiment results show that the proposed system (1) pushes the contact-free sensing range of human walking from the state-of-the-art 50 m to 120 m; (2) achieves a sensing range of 75 m for fine-grained respiration sensing; and (3) demonstrates human respiration sensing even through seven concrete walls.
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Zeng, Youwei, Jinyi Liu, Jie Xiong, Zhaopeng Liu, Dan Wu, and Daqing Zhang. "Exploring Multiple Antennas for Long-range WiFi Sensing." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (December 27, 2021): 1–30. http://dx.doi.org/10.1145/3494979.

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Despite extensive research effort on contactless WiFi sensing over the past few years, there are still significant barriers hindering its wide application. One key issue is the limited sensing range due to the intrinsic nature of employing the weak target-reflected signal for sensing and therefore the sensing range is much smaller than the communication range. In this work, we address this challenging issue, moving WiFi sensing one step closer to real-world adoption. The key idea is to effectively utilize the multiple antennas widely available on commodity WiFi access points to simultaneously strengthen the target-reflected signal and reduce the noise. Although traditional beamforming schemes can help increase the signal strength, they are designed for communication and can not be directly applied to benefit sensing. To effectively increase the WiFi sensing range using multiple antennas, we first propose a new metric that quantifies the signal sensing capability. We then propose novel signal processing methods, which lay the theoretical foundation to support beamforming-based long-range WiFi sensing. To validate the proposed idea, we develop two sensing applications: fine-grained human respiration monitoring and coarse-grained human walking tracking. Extensive experiments show that: (i) the human respiration sensing range is significantly increased from the state-of-the-art 6-8 m to 11 m;1 and (ii) human walking can be accurately tracked even when the target is 18 m away from the WiFi transceivers, outperforming the sensing range of the state-of-the-art by 50%.
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Li, Tiancheng, Victor Elvira, Hongqi Fan, and Juan M. Corchado. "Local-Diffusion-Based Distributed SMC-PHD Filtering Using Sensors With Limited Sensing Range." IEEE Sensors Journal 19, no. 4 (February 15, 2019): 1580–89. http://dx.doi.org/10.1109/jsen.2018.2882084.

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Ilic, Nemanja, Milos S. Stankovic, and Srdjan S. Stankovic. "Adaptive Consensus-Based Distributed Target Tracking in Sensor Networks With Limited Sensing Range." IEEE Transactions on Control Systems Technology 22, no. 2 (March 2014): 778–85. http://dx.doi.org/10.1109/tcst.2013.2256787.

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Mišić, Vojislav B., and Jelena Mišić. "Improving Sensing Accuracy in Cognitive PANs through Modulation of Sensing Probability." Mobile Information Systems 5, no. 2 (2009): 177–93. http://dx.doi.org/10.1155/2009/635947.

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Cognitive radio technology necessitates accurate and timely sensing of primary users' activity on the chosen set of channels. The simplest selection procedure is a simple random choice of channels to be sensed, but the impact of sensing errors with respect to primary user activity or inactivity differs considerably. In order to improve sensing accuracy and increase the likelihood of finding channels which are free from primary user activity, the selection procedure is modified by assigning different sensing probabilities to active and inactive channels. The paper presents a probabilistic analysis of this policy and investigates the range of values in which the modulation of sensing probability is capable of maintaining an accurate view of the status of the working channel set. We also present a modification of the probability modulation algorithm that allows for even greater reduction of sensing error in a limited range of the duty cycle of primary users' activity. Finally, we give some guidelines as to the optimum application ranges for the original and modified algorithm, respectively.
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Dissertations / Theses on the topic "Limited sensing range"

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Yu, Hongjun. "Formation Control of Localised and Decentralised Robotic Swarms." Thesis, 2017. http://hdl.handle.net/2440/119245.

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Robot swarms consist of multiple autonomous robots, which detect and interact with their local environments. The fundamental intelligence is observed when a chaotic swarm reaches a stable and orderly objective formation. The process is important because the objective formation is designed such that the swarm achieves more than the sum of its individuals. A formation is a set of positions or tasks, and intelligent swarms are capable of self-organising and task allocating. Given an objective formation, individuals of a swarm reach different objective positions and perform different tasks. This implies task allocation in different possible choices. For each individual, the path to its objective position is regarded as the efort to take, and the inclination to different objective tasks means different eforts. The challenge is that it needs to choose wisely in the interaction with its neighbourhood. Changes of choices are compromises and each progress to the objective position imposes in uence on its neighbourhood. The collective intelligence comes from series of individual decisions in the process. In this thesis, we consider four problems that arise with the challenge. We use techniques from graph theory and agent-based design to address them. Formation control algorithms should not impose heavy burden in the communication network. Thus, to start with, limited sensing and communication are assumed, and the robots have minimal access to each other's identity through locally established channels. The control strategy is proposed based on local optimisation and multi-object mapping for a team of robots. Robots are able to make mapping decisions based on local information. To achieve the local optimal mapping decisions for each robot, two novel multi-object mapping protocols are designed. The first protocol performs confict locating and resolving, and the second adopts a most-neighbour mapping strategy. The formation problem is further addressed for a scalable team of robots subject to limited sensing with no communication. The robots themselves are fully independent with no designated roles. Scalable objective formation design is proposed such that the robot formation is scalable. Under the assumption that the data transmission among the robots is not available, a novel controller and a protocol are designed that do not rely on communication. As the controller only drives the robots to a partially desired formation, a distributed coordination protocol is proposed to resolve the imperfections. The case is investigated where the objective formations are arbitrary and have fixed sizes. Multi-objective mapping is proposed for the individual robots to identify their positions in the objective formation. The fixed formation size induces mapping loops, and to avoid local optimum traps, an evaluation method imposes a weak restriction on the predened formation, rendering it almost arbitrary. To enhance the robustness, the minimal local topology is proposed, and to reduce the computation burden and avoid the infnite trajectory loop, the coordination protocol is modifed by introducing probability. The practical problem of collision avoidance is also studied. The leaderfollower scheme is implemented on a multi-robot platform. On the premise of coordinated control laws, globally desired formation is achieved. The same problem in the path-planning perspective is considered on a global scale. Disc obstacles are filtered and clusters are identified based on their intersections. The path planning algorithm is designed based on obstacle clusters.
Thesis (Ph.D.) -- University of Adelaide, School of Electrical & Electronic Engineering, 2017
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Book chapters on the topic "Limited sensing range"

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Zhang, Yu, Kangjin Kim, and Georgios Fainekos. "DisCoF: Cooperative Pathfinding in Distributed Systems with Limited Sensing and Communication Range." In Springer Tracts in Advanced Robotics, 325–40. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55879-8_23.

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Li, Binbin, and Dezhen Song. "Probabilistic Boundary Coverage for Unknown Target Fields with Large Perception Uncertainty and Limited Sensing Range." In Springer Proceedings in Advanced Robotics, 711–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28619-4_50.

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Rubtsov, Nickolai, Mikhail Alymov, Alexander Kalinin, Alexey Vinogradov, Alexey Rodionov, and Kirill Troshin. "Methods and means of remote sensing in the optical range." In Remote studies of combustion and explosion processes based on optoelectronic methods, 18–28. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/chapter_62876066b31e97.40925202.

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The main objective of this book is to acquaint the reader with the main modern problems of the multisensor data analysis and opportunities of the hyperspectral shooting being carried out in the wide range of wavelengths from ultraviolet to the infrared range, visualization of the fast combustion processes of flame propagation and flame acceleration, the limit phenomena at flame ignition and propagation. The book can be useful to students of the high courses and scientists dealing with problems of optical spectroscopy, vizualisation, digital recognizing images and gaseous combustion. The main goal of this book is to bring to the attention of the reader the main modern problems of multisensory data analysis and the possibilities of hyperspectral imaging, carried out in a broad wave-length range from ultraviolet to infrared by methods of visualizing fast combustion processes, propagation and flames acceleration, and limiting phenomena during ignition and flame propagation. The book can be useful for students of higher courses and experimental scientists dealing with problems of optical spectroscopy, visualization, pattern recognition and gas combustion.
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Gölz, Jacqueline, and Christian Hatzfeld. "Sensor Design." In Springer Series on Touch and Haptic Systems, 431–516. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04536-3_10.

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AbstractMultiple sensors are applied in haptic devices designs. Even if they are not closed-loop controlled in a narrow sense of force or torque generation, they are used to detect movement ranges and limits or the detection of the presence of a user and its type of interaction with an object or human-machine-interface (HMI). Almost any type of technical sensor had been applied in the context of haptic devices. The emerging market of gesture based user interaction and integration of haptics due to ergonomic reasons extends the range of sensors potentially relevant for haptic devices. However, what exactly is a sensor? Which is the right one for your purpose and is there a systematic way to choose it? To support you answering these fundamental questions, classification of sensors is helpful. This chapter starts with a definition and classifications according to measurand and sensing principles. Constraints, you will have to focus on, are discussed and selection criteria are deduced. An introduction in technologies and design principles for mechanical sensors serves as an overview for your selection process. Common types of force/torque, positioning, velocity and acceleration sensors are presented. Furthermore, imaging and temperature sensors are addressed briefly in this section.
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Sun, Shilong, and Dahai Dai. "Quantitative Inversion Radar Imaging: A Physical Remote Sensing Modality of High Resolution." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220530.

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Quantitative inversion techniques have been widely used in many fields where the electric or magnetic fields are sampled in a wide range of viewing angles. In this paper, the quantitative inversion imaging scheme has been proposed for remote sensing radar systems with multiview-multistatic sensing configuration. The cross correlated contrast source inversion method is used in witch the cross-correlated term has been used as a regularization technique for, to some extent, overcoming the ill-posedness. Preliminary simulation results demonstrate that quantitative inversion radar imaging shows physical resolving ability for remote sensing imaging. To the best of our knowledge, it is verified for the first time that physical imaging is feasible with limited range of viewing angles (less than 65° in this paper). Therefore, we remark that in remote sensing applications, the quantitative inversion radar imaging scheme shows potential of identifying radar targets not only with finer geometric resolutions but also in an additional physical dimension of the electromagnetic characteristics. Extension of this inversion scheme to the multibistatic sensing configuration will be more impressive in the field of remote sensing radar imaging.
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"Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range." In Robotics. The MIT Press, 2011. http://dx.doi.org/10.7551/mitpress/9123.003.0039.

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Marondedze, E. F. "Emerging Nanomaterials in Healthcare." In Emerging Nanomaterials and Their Impact on Society in the 21st Century, 284–303. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902172-12.

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Applications of nanomaterials in the field of medicine and healthcare have been on a rapid rise in recent years. Modifiable physical, optical and electronic structures of nanomaterials enable them to be fabricated for various uses. Examples of nanoparticles widely used in the healthcare sector include, but are not limited to silica (Si), aluminium oxide (Al2O3), silver (Ag), copper (Cu), titanium (Ti), gold (Au) and zinc (Zn). Application of nanomaterials in healthcare range from, bioimaging, sensing, diagnosis, targeted drug delivery, prosthetics, cancer therapy and antibiotics. Although mechanisms behind sensing and other functions are well known, mechanisms behind the antibiotic properties need more scientific validation. In this book chapter, we focus on current uses of nanomaterials in healthcare and give a brief insight on future perspectives on nanomaterials in medicine and healthcare.
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Minnis, Patrick. "Satellite Remote Sensing of Cirrus." In Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.003.0011.

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The determination of cirrus properties over large spatial and temporal scales will, in most instances, require the use of satellite data. Global coverage at resolutions as fine as several meters are attainable with instruments on Landsat, and temporal coverage at 1-min intervals is now available with the latest Geostationary Operational Environmental Satellite (GOES) imagers. Extracting information about cirrus clouds from these satellite data sets is often difficult because of variations in background, similarities to other cloud types, and the frequently semitransparent nature of cirrus clouds. From the surface, cirrus clouds are readily discerned by the human observer via the patterns of scattered visible radiation from the sun, moon, and stars. The relatively uniform background presented by the sky facilitates cloud detection and the familiar textures, structures, and apparent altitude of cirrus distinguish it from other cloud types. From satellites, cirrus can also be detected from scattered visible radiation, but the demands of accurate identification for different surface backgrounds over the entire diurnal cycle and quantification of the cirrus properties require the analysis of radiances scattered or emitted over a wide range of the electromagnetic spectrum. Many of these spectra and high-resolution satellite data can be used to understand certain aspects of cirrus clouds in particular situations. Intensive study of well-measured cases can yield a wealth of information about cirrus properties on fine scales (e.g., Minnis et al. 1990; Westphal et al. 1996). Production of a global climatology of cirrus clouds, however, requires compromises in spatial, temporal, and spectral coverage (e.g., Schiffer and Rossow 1983). This chapter summarizes both the state of the art and the potential for future passive remote sensing systems to aid the understanding of cirrus processes and to acquire sufficient statistics for constraining and refining weather and climate models. Theoretically, many different aspects of cirrus can be determined from passive sensing systems. A limited number of quantities are the focus of most efforts to describe cirrus clouds. These include the areal coverage, top and base altitude or pressure, thickness, top and base temperatures, optical depth, effective particle size and shape, vertical ice water path, and size, shape and spacing of the cloud cells.
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Parwekar, Pritee, Sireesha Rodda, and Parmeet Kaur. "Mobile Sink as Checkpoints for Fault Detection Towards Fault Tolerance in Wireless Sensor Networks." In Sensor Technology, 414–25. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch021.

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A WSN consists of a large number of limited computation and storage capability wireless sensor nodes, which communicate wirelessly. These sensor nodes typical communicate in short range and collaborate to accomplish the network function. To increase the range of sensing and with the advent of MEMS, mobile sensors and sinks is the technology the world is moving to. This paper presents a network of mobile sensors and a sink. A mobile sink is selected as check-point to have the recoverability of the network. A Fuzzy Rule based system (FRS) is used to construct and select efficient static sensor nodes having adequate resources as Check Point Storage Nodes (CPSNs). The objective of FRS is to increase the probability of recovery of check-pointed data subsequent to a failure, thereby allowing a distributed application to complete its execution successfully. Simulations show FRS's better recovery probabilities in comparison to a random check-pointing arrangement.
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Anyamba, Assaf, and Compton J. Tucker. "Monitoring Drought Using Coarse Resolution Polar-Orbiting Satellite Data." In Monitoring and Predicting Agricultural Drought. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162349.003.0012.

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There are two distinct categories of remotely sensed data: satellite data and aerial data or photographs. Unlike aerial photographs, satellite data have been routinely available for most of the earth’s land areas for more than two decades and therefore are preferred for reliably monitoring global vegetation conditions. Satellite data are the result of reflectance, emission, and/or back scattering of electromagnetic energy from earth objects (e.g., vegetation, soil, and water). The electromagnetic spectrum is very broad, and only a limited range of wavelengths is suitable for earth resource monitoring and applications. The gaseous composition (O2, O3, CO2, H2O, etc.) of the atmosphere, along with particulates and aerosols, cause significant absorption and scattering of electromagnetic energy over some regions of the spectrum. This restricts remote sensing of the earth’s surface to certain “atmospheric windows,” or regions in which electromagnetic energy can pass through the atmosphere with minimal interference. Some such windows include visible, infrared, shortwave, thermal, and microwave ranges of the spectrum. The shortwave-infrared (SWIR) wavelengths are sensitive to moisture content of vegetation, whereas the thermal-infrared region is useful for monitoring and detecting plant canopy stress and for modeling latent and sensible heat fluxes. Thermal remote sensing imagery is acquired both during the day and night, and it measures the emitted energy from the surface, which is related to surface temperatures and the emissivity of surface materials. This chapter focuses on the contribution of visible and infrared wavelengths to global drought monitoring, and chapter 6 discusses visible, infrared, and thermal wave contributions. Under microwave windows, the satellite data can be divided into two categories: active microwave and passive microwave. Chapters 7 and 8 describe applications of passive and active microwave remote sensing to drought monitoring, respectively. Early use of satellite data was pioneered by the Landsat series originally known as the Earth Resource Technology Satellite (ERTS; http://landsat7. usgs.gov/index.php). Landsat was the first satellite specifically designed for broad-scale observation of the earth’s land surface.
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Conference papers on the topic "Limited sensing range"

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Saad, E. M., M. H. Awadalla, A. M. Hamdy, and H. I. Ali. "Robot formations using local sensing and limited range vision." In 2008 National Radio Science conference (NRSC). IEEE, 2008. http://dx.doi.org/10.1109/nrsc.2008.4542330.

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Kriegleder, Maximilian, Sundara Tejaswi Digumarti, Raymond Oung, and Raffaello D'Andrea. "Rendezvous with bearing-only information and limited sensing range." In 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015. http://dx.doi.org/10.1109/icra.2015.7140032.

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Olfati-Saber, Reza, and Nils F. Sandell. "Distributed tracking in sensor networks with limited sensing range." In 2008 American Control Conference (ACC '08). IEEE, 2008. http://dx.doi.org/10.1109/acc.2008.4586978.

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Cortes, J., S. Martinez, and F. Bullo. "Coordinated deployment of mobile sensing networks with limited-range interactions." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1430332.

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Squires, Eric, Rohit Konda, Pietro Pierpaoli, Samuel Coogan, and Magnus Egerstedt. "Safety With Limited Range Sensing Constraints For Fixed Wing Aircraft." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561525.

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Wu, Guofan, and Koushil Sreenath. "Safety-Critical Control of a 3D Quadrotor With Range-Limited Sensing." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9913.

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Enforcing safety is critical for aerial robotics. In this paper we consider the safety control problem for a 3D quadrotor with limited sensing range subject to avoiding collisions with time-varying obstacles. By using the concepts of Control Lyapunov Functions (CLFs) and Control Barrier functions (CBFs), we propose a control algorithm that explicitly considers the nonlinear and underactuated dynamics of a quadrotor to strictly guarantee time-varying safety-critical constraints. We demonstrate the feasibility of our proposed control design through numerical validation of (a) aerial flight through a region of dense cluttered obstacles, and (b) aerial flight through a dense time-varying obstacle field.
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Bai, Jing, Peng Cheng, Jiming Chen, Adrien Guenard, and Yeqiong Song. "Target Tracking with Limited Sensing Range in Autonomous Mobile Sensor Networks." In 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems (DCOSS). IEEE, 2012. http://dx.doi.org/10.1109/dcoss.2012.44.

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Mohamed, Reem E., Saber Elsayed, Robert Hunjet, and Hussein Abbass. "A Graph-based Approach for Shepherding Swarms with Limited Sensing Range." In 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021. http://dx.doi.org/10.1109/cec45853.2021.9504706.

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Dai, Shi-Lu, Xin Chen, and Shude He. "Finite-time formation control of mobile robots under limited sensing range." In 2018 Chinese Control And Decision Conference (CCDC). IEEE, 2018. http://dx.doi.org/10.1109/ccdc.2018.8407450.

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Karaman, Sertac, and Emilio Frazzoli. "High-speed motion with limited sensing range in a poisson forest." In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426047.

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