Relevant bibliographies by topics / Autonomous Boat

Academic literature on the topic 'Autonomous Boat'

Author: Grafiati
Published: 18 August 2021
Last updated: 5 February 2022

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Journal articles on the topic "Autonomous Boat":

1

Arfianto, Afif Zuhri, Mohammad Basuki Rahmat, Fuad Dhiyavia, Tri Budi Santoso, Nyoman Gunantara, Eko Supriyanto, and Valian Yoga Pudya Ardhana. "Autopilot Unmanned Smart Boat Vehicle (AUSV) Communication with LoRa RFM95." JOIV : International Journal on Informatics Visualization 4, no. 4 (December 18, 2020): 219. http://dx.doi.org/10.30630/joiv.4.4.492.

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Autopilot is a system control application on moving vehicles such as airplanes, helicopters, or boat, which serves to stabilize the direction of motion in the desired time and the programmed path's direction. the autopilot control system is controlled by a series of microcontrollers and GPS that has the function to be able to determine and the desired object. This control system is designed with electrical system controls that utilize microcontrollers, sensor and GPS as control media. The development of autopilot prototypes is used for testing new control algorithms and the reliability of other electronic components such as sensors and microprocessors. A control system is needed to control the boat to its destination. The relatively accurate system dynamics model affects the steering performance of the autopilot system. The system in question can be considered a boat with an actuator rudder, which experiences external disturbances. this system is broadly divided into two parts: the control station part and the autonomous boat part. These two parts communicate with each other using LoRa device. The data sent from the control station to the autonomous boat is target latitude and longitude coordinates. The autonomous boat will send feedback in the form of boat latitude and longitude coordinates so that users can find out the current location of the boat. Autonomous Boat also provides feedback to the control station via LoRa in the form of boat coordinates so that users can find out the current location of the boat and whether the boat has reached the specified coordinates. The control station will send feedback from the boat to a database that can be monitored via the website to find out the boat's current condition on the website. Based on the results that have been obtained in the analysis and testing of the system. GPS sensor used in autonomous boat Ublox NEO-7m has an accuracy level with an average distance value of 3.220921 meters with the lowest cold start time of 7 seconds. Compass sensor used in autonomous boat CMPS11 has an accuracy level with an average value of 3.041667 degrees. Communication distance between autonomous boat and control station using LoRa with 5dBi antenna can reach 1406.79 meters in condition without obstruction between nodes. Data delivery system can be successfully sent from user to autonomout boat and sending feedback back to user. Delay update of boat coordinate data on interface has the lowest average of 30.8 seconds. Based on turning circle test results, autonomous boat is able to create imperfect circles with a radius of 8,364 m.
2

Matveev, Konstantin I. "Modeling of Autonomous Hydrofoil Craft Tracking a Moving Target." Unmanned Systems 08, no. 02 (April 2020): 171–78. http://dx.doi.org/10.1142/s2301385020500107.

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The interest in autonomous marine vessels has been continuously growing in the recent years. Most platforms of the autonomous surface watercraft involve traditional mono- or multi-hulls. Advanced marine vehicle concepts, such as hydrofoils, can provide high-speed and high seakeeping capabilities. In this study, a modeling effort is initiated for a small autonomous hydrofoil boat intended for intercepting operations. A 3-DOF model, including surge, sway and yaw, is applied for simulating maneuvering motions of the boat in the foilborne state. Forces generated by the propulsor, rudder and struts are accounted for in the simulations of the horizontal-plane boat dynamics. Two scenarios of a hydrofoil boat pursuing a moving target are investigated. In the pure pursuit, the interceptor always attempts to aim at the target and uses full thrust to quickly reach the target at a high speed. In the constant-bearing scenario, the interceptor approaches the target with diminishing speed trying to achieve a rendezvous. The presented models and results can help engineers to design more effective control methods for fast boats intended for intercepting operations.
3

YU, Zhenyu, Xinping BAO, and Kenzo NONAMI. "3124 Control and Navigation of an Autonomous Boat." Proceedings of the Symposium on the Motion and Vibration Control 2007.10 (2007): 350–53. http://dx.doi.org/10.1299/jsmemovic.2007.10.350.

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Plumet, Frederic, Clement Petres, Miguel-Angel Romero-Ramirez, Bruno Gas, and Sio-Hoi Ieng. "Toward an Autonomous Sailing Boat." IEEE Journal of Oceanic Engineering 40, no. 2 (April 2015): 397–407. http://dx.doi.org/10.1109/joe.2014.2321714.

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OKADA, Tadashi, and Masafumi MIWA. "311 Development of autonomous cruising solar boat." Proceedings of Conference of Chugoku-Shikoku Branch 2011.49 (2011): 89–90. http://dx.doi.org/10.1299/jsmecs.2011.49.89.

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Stenersen, Henning Seeberg. "Construction and Control of an Autonomous Sail Boat." IFAC-PapersOnLine 49, no. 23 (2016): 524–31. http://dx.doi.org/10.1016/j.ifacol.2016.10.489.

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Smith, D., L. Cross, J. Rivet, and S. Hall. "Design of a semi-autonomous boat for measurements of coastal sedimentation and erosion." Proceedings of the International Association of Hydrological Sciences 367 (March 3, 2015): 447–54. http://dx.doi.org/10.5194/piahs-367-447-2015.

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Abstract. Measurement of sediment deposition and erosion in coastal areas is a challenge due to soft shifting sediments, but is critical to assessing loss or restoration of coastal sediments and wetlands. The aim of this project was to design and construct a semi-autonomous boat with water depth measuring capabilities. It was intended to map the depth of coastal wetlands to determine erosion rates and assess coastal restoration effects. Depth-measuring equipment was incorporated into an autonomous pontoon boat powered by solar panels. The propulsion system consisted of two paddlewheels and two-way motors to allow movement and positioning for measurements. Modifications included a lightweight, hard coating on the pontoons and powder-coating the frame to extend their usable life. A microcontroller controlled the boat and captured depth data from sensors and location data with a GPS system. The depth measuring system consisted of a pulley and counter system that completed each measurement in less than 45 seconds. This allowed the boat to take approximately 400 measurements per day. Net accuracy was approximately 3 cm in the tested configuration. The boat can continually measure the depth of specified areas in the wetlands; with this data, the change in depth can be monitored to see the effects of restoration projects.
8

Jain, Vanita, Dharmender Saini, Monu Gupta, Neeraj Joshi, Anubhav Mishra, Vishakha Bansal, and D. Jude Hemanth. "A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications." Mathematical Problems in Engineering 2021 (June 21, 2021): 1–17. http://dx.doi.org/10.1155/2021/6614002.

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New technologies are advancing and emerging day by day to improve the safety of humans by making use of various autonomous technologies. The continuous utilization of autonomous vehicles/systems in search and rescue (SAR) operations is a challenging research area particularly for marine-based activities. A comprehensive systematic literature review (SLR) providing an overview of improvisations that have been done in the field of autonomous technologies for search and rescue operation over the last five years has been compiled in this paper. A methodology for using autonomous vehicles in water for SAR operations has been incorporated and demonstrated. The focus of this study is to look at the various techniques and address different challenges faced for human beings’ safety during rescue operation. The comparison of results achieved for various technologies and algorithms is highlighted in this paper. This literature survey proves to be a good source of information for fellow researchers to precisely analyze the study results.
9

Fujii, Akihiro, and Yutaka Masuyama. "111 Autonomous navigation systems for a crewless GPS solar boat." Proceedings of Conference of Hokuriku-Shinetsu Branch 2011.48 (2011): 21–22. http://dx.doi.org/10.1299/jsmehs.2011.48.21.

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Jo, Hyun-Jae, Jung-Hyeon Kim, Su-Rim Kim, Ju-Hyun Woo, and Jong-Yong Park. "Development of Autonomous Algorithm for Boat Using Robot Operating System." Journal of the Society of Naval Architects of Korea 58, no. 2 (April 20, 2021): 121–28. http://dx.doi.org/10.3744/snak.2021.58.2.121.

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Journal articles Dissertations / Theses

Dissertations / Theses on the topic "Autonomous Boat":

1

BOCZAR, LUDVIG, and JONATHAN PERNOW. "Autonomous Docking of Electric Boat." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299765.

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In recreational boating, docking is one of the most stressful and accident prone situations. Due to the loss of maneuverability at low speeds, it is a procedure that requires experience. There are mainly two problems when it comes to autonomous docking of a boat, these are identifying a berth’s position as well as keeping the boat on its intended path and correcting any deviations. Autonomous docking in recreational boating is still quite uncommon, with companies still exploring different solutions. This thesis proposes a Model Predictive Control (MPC) system combined with Pulsed Coherent Radar technology, equipped on an under-actuated boat model, to achieve autonomous docking. A major part of this thesis was to evaluate the amount and placement of radar sensors, as well as determining whether these are suitable in a water environment. In order to test this, the sensors were placed alongside the hull of the boat. It was found that the placement of sensors had a bigger impact than the amount when it came to correctly detecting the position of a berth. Once the placement of sensors and the berth position algorithmhad been done, a closed-loop MPC was used. This controller got constant feedback of the boat’s position relative the berth, in order to calculate the thruster control inputs for the next time step. The developed autonomous docking system was then implemented on the boat which was tested in a swimming pool. The optimal radar configuration combined withMPC, made it possible to successfully dock a boat autonomously without any modification to the berth.
För fritidsbåtlivet är tilläggning en av demest stressfulla och olycksbenägna situationerna. På grund av förlust av manövrering vid låga hastigheter är det en procedur som kräver erfarenhet. Det finns främst två problem när det kommer till autonom tilläggning, det är att identifiera positionen av en brygga såväl som att hålla båten på den avsedda kursen och rätta till små avvikelser. Autonom tilläggning för fritidsbåtlivet är fortfarande rätt ovanligt och företag utforskar fortfarande olika lösningar. Denna avhandling föreslår ett Modellprediktivt Reglersystem (MPC) kombinerat med Pulserad Koherent Radarteknik som är utrustad på en underaktuerad båtmodell för att uppnå autonom tilläggning. En stor del av avhandlingen var att utvärdera antalet och placeringen av radarsensorer, såväl som att fastställa om dessa är lämpliga att användas i en vattenmiljö. För att undersöka detta placerades sensorerna längs med båtens skrov. Det konstaterades att placeringen av sensorer hade en större påverkan än mängden när det kom till att läsa av positionen av bryggan korrekt. När placeringen av sensorer och bryggpositionsalgoritmen var klar användes MPC med återkoppling. Denna regulator fick konstant återkoppling av båtens position relativt bryggan för att räkna ut styrsignal till motorerna för nästa tidssteg. Den utvecklade autonoma tilläggningen var sedan implementerad på båten som testades i en pool. Den optimala radarplaceringen kombinerat med MPC gjorde det möjligt att med framgång kunna lägga till båten autonomt utan modifiering av bryggan.
2

Dhomé, Ulysse. "Further development and performance evaluation of the autonomous sailing boat Maribot Vane." Thesis, KTH, Marina system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226533.

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This paper describes the ongoing development of Maribot Vane, an autonomous sailing vessel at the Maritime Robotics Laboratory of KTH, the Royal Institute of Technology, Stockholm. There is an ac-celerating need for ocean sensing where autonomous vehicles can play a key role in assisting scientists with environmental monitoring and collecting oceanographic data. The purpose of Maribot Vane is to offer a sus-tainable alternative for these autonomous missions by using wind and an energy efficient self-steering mecha-nism. The rig is composed of a free-rotating wing fitted with a coupled control surface. A completely novel wind vane self-steering solution has been developed and is being evaluated. A key point in the development of the vessel is robustness, with a goal of being able to sail in open seas for long period of times. The paper discusses some key concepts, the development method and presents initial results of the new systems.
3

Rydalch, Matthew Kent. "Precision Maritime Landing of Autonomous Multirotor Aircraft with Real-Time Kinematic GNSS." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/9170.

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In this thesis two methods were developed for precise maritime landing of an autonomous multirotor aircraft based on real-time kinematic (RTK) Global Navigation Satellite System (GNSS). The first method called RTK-localized method (RLM) uses RTK GNSS measurements to localize a sea vessel and execute the landing. RLM was demonstrated outdoors in hardware and landed on a physically simulated boat called a mock-boat with an average landing error of 9.7 cm. The mock-boat was actuated to have boat-like motion and a forward velocity of ~2 m/s. This method showed that accurate landing is possible with RTK GNSS as the primary means of localizing a sea vessel. The localization was unaided by non-GNSS sensors or an estimator, but lacked full attitude estimation and measurement smoothing. The second method was called RTK-Estimation Method (REM) and provides a more complete and robust solution, particularly at sea. It includes a base (landing pad) estimator to fuse RTK GNSS measurements with a dynamic model of a sea vessel. In contrast to RLM, the estimator provides full attitude estimation and measurement smoothing. The base estimator consists of an EKF in conjunction with a complimentary filter and estimates the relative position, attitude, and velocity of a moving target using RTK GNSS and inertial measurements alone. REM was demonstrated outdoors in hardware for 18 flight tests. The same mock-boat from RLM was used as a substitute for a sea vessel, and the boat motion varied between tests. These dynamics were recorded and performances were compared. The rate of success was high given moderate mock-boat motion and degraded with more aggressive motion. Tests were conducted with forward velocities from 0 to 3 m/s and moderate to high wave like motion. Over all tests for REM, the multirotor landed with an average accuracy of 12.7 cm. The methods described depart from common methods given that the only sensors involved for tracking the sea vessel were RTK GNSS receivers and inertial measurement units. Most current methods rely on computer vision, and can fail in poor lighting conditions, in the presence of ocean spray, and other scenarios. The given solutions do not fail under such conditions. The multirotor was equipped with a standard off-the-shelf autopilot, PX4, and the methods function with common control and estimation schemes. The two methods are capable of landing on relatively small landing pads, on the order of 1 m by 1 m, at sea using measurements from satellites thousands of kilometers away.
4

Lundblad, Oscar. "The autonomous crewmate : A sociotechnical perspective to implementation of autonomous vehicles in sea rescue." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166452.

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The usage of autonomous vehicles is starting to appear in several different domains and the domain of public safety is no exception. Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) has created a research arena for public safety (WARA-PS) to explore experimental features, usages, and implementation of autonomous vehicles within the domain of public safety. Collaborating in the arena are several companies, universities, and researchers. This thesis examines, in collaboration with Combitech, a company partnered in WARA-PS, how the implementation of autonomous vehicles affects the sociotechnical system of a search and rescue operation during a drifting boat with potential castaways. This is done by creating a case together with domain experts, analyzing the sociotechnical system within the case using cognitive work analysis and then complementing the analyses with the unmanned autonomous vehicles of WARA-PS. This thesis has shown how the WARA-PS vehicles can be implemented in the case of a drifting boat with potential castaways and how the implementation affects the sociotechnical system. Based on the analyses and opinions of domain experts’ future guidelines has been derived to further the work with sociotechnical aspects in WARA-PS.
WARA-PS
5

Jaritz, Maximilian. "2D-3D scene understanding for autonomous driving." Thesis, Université Paris sciences et lettres, 2020. https://pastel.archives-ouvertes.fr/tel-02921424.

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Dans cette thèse, nous abordons les défis de la rareté des annotations et la fusion de données hétérogènes tels que les nuages de points 3D et images 2D. D’abord, nous adoptons une stratégie de conduite de bout en bout où un réseau de neurones est entraîné pour directement traduire l'entrée capteur (image caméra) en contrôles-commandes, ce qui rend cette approche indépendante des annotations dans le domaine visuel. Nous utilisons l’apprentissage par renforcement profond où l'algorithme apprend de la récompense, obtenue par interaction avec un simulateur réaliste. Nous proposons de nouvelles stratégies d'entraînement et fonctions de récompense pour une meilleure conduite et une convergence plus rapide. Cependant, le temps d’apprentissage reste élevé. C'est pourquoi nous nous concentrons sur la perception dans le reste de cette thèse pour étudier la fusion de nuage de points et d'images. Nous proposons deux méthodes différentes pour la fusion 2D-3D. Premièrement, nous projetons des nuages de points LiDAR 3D dans l’espace image 2D, résultant en des cartes de profondeur éparses. Nous proposons une nouvelle architecture encodeur-décodeur qui fusionne les informations de l’image et la profondeur pour la tâche de complétion de carte de profondeur, améliorant ainsi la résolution du nuage de points projeté dans l'espace image. Deuxièmement, nous fusionnons directement dans l'espace 3D pour éviter la perte d'informations dû à la projection. Pour cela, nous calculons les caractéristiques d’image issues de plusieurs vues avec un CNN 2D, puis nous les projetons dans un nuage de points 3D global pour les fusionner avec l’information 3D. Par la suite, ce nuage de point enrichi sert d'entrée à un réseau "point-based" dont la tâche est l'inférence de la sémantique 3D par point. Sur la base de ce travail, nous introduisons la nouvelle tâche d'adaptation de domaine non supervisée inter-modalités où on a accès à des données multi-capteurs dans une base de données source annotée et une base cible non annotée. Nous proposons une méthode d’apprentissage inter-modalités 2D-3D via une imitation mutuelle entre les réseaux d'images et de nuages de points pour résoudre l’écart de domaine source-cible. Nous montrons en outre que notre méthode est complémentaire à la technique unimodale existante dite de pseudo-labeling
In this thesis, we address the challenges of label scarcity and fusion of heterogeneous 3D point clouds and 2D images. We adopt the strategy of end-to-end race driving where a neural network is trained to directly map sensor input (camera image) to control output, which makes this strategy independent from annotations in the visual domain. We employ deep reinforcement learning where the algorithm learns from reward by interaction with a realistic simulator. We propose new training strategies and reward functions for better driving and faster convergence. However, training time is still very long which is why we focus on perception to study point cloud and image fusion in the remainder of this thesis. We propose two different methods for 2D-3D fusion. First, we project 3D LiDAR point clouds into 2D image space, resulting in sparse depth maps. We propose a novel encoder-decoder architecture to fuse dense RGB and sparse depth for the task of depth completion that enhances point cloud resolution to image level. Second, we fuse directly in 3D space to prevent information loss through projection. Therefore, we compute image features with a 2D CNN of multiple views and then lift them all to a global 3D point cloud for fusion, followed by a point-based network to predict 3D semantic labels. Building on this work, we introduce the more difficult novel task of cross-modal unsupervised domain adaptation, where one is provided with multi-modal data in a labeled source and an unlabeled target dataset. We propose to perform 2D-3D cross-modal learning via mutual mimicking between image and point cloud networks to address the source-target domain shift. We further showcase that our method is complementary to the existing uni-modal technique of pseudo-labeling
6

Trianni, Vito. "On the evolution of self-organising behaviours in a swarm of autonomous robots." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210865.

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The goal of the research activities presented in this thesis is the design of intelligent behaviours for a complex robotic system, which is composed of a swarm of autonomous units. Inspired by the organisational skills of social insects, we are particularly interested in the study of collective behaviours based on self-organisation.

The problem of designing self-organising behaviours for a swarm of robots is tackled resorting to artificial evolution, which proceeds in a bottom-up direction by first defining the controllers at the individual level and then testing their effect at the collective level. In this way, it is possible to bypass the difficulties encountered in the decomposition of the global behaviour into individual ones, and the further encoding of the individual behaviours into the controllers' rules. In the experiments presented in this thesis, we show that this approach is viable, as it produces efficient individual controllers and robust self-organising behaviours. To the best of our knowledge, our experiments are the only example of evolved self-organising behaviours that are successfully tested on a physical robotic platform.

Besides the engineering value, the evolution of self-organising behaviours for a swarm of robots also provides a mean for the understanding of those biological processes that were a fundamental source of inspiration in the first place. In this perspective, the experiments presented in this thesis can be considered an interesting instance of a synthetic approach to the study of collective intelligence and, more in general, of Cognitive Science.


Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished

7

Gross, Roderich. "Self-assembling robots." Doctoral thesis, Universite Libre de Bruxelles, 2007. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210656.

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We look at robotic systems made of separate discrete components that, by self-assembling, can organize into physical structures of growing size. We review 22 such systems, exhibiting components ranging from passive mechanical parts to mobile

robots. We present a taxonomy of the systems, and discuss their design and function. We then focus on a particular system, the swarm-bot. In swarm-bot, the components that assemble are self-propelled modules that are fully autonomous in power, perception, computation, and action. We examine the additional capabilities and functions self-assembly can offer an autonomous group of modules for the accomplishment of a concrete task: the transport of an object. The design of controllers is accomplished in simulation using

techniques from biologically-inspired computing. We show that self-assembly can offer adaptive value to groups that compete in an artificial evolution based on their fitness in task performance. Moreover, we investigate mechanisms that facilitate the design of self-assembling systems. The controllers are transferred to the physical swarm-bot system, and the capabilities of self-assembly and object transport are extensively evaluated in a range of different environments. Additionally, the controller for self-assembly is transferred and evaluated on a different robotic system, a super-mechano colony. Given the breadth and quality of the results obtained, we can say that the swarm-bot qualifies as the current state of the art in self-assembling robots. Our work supplies some initial evidence (in form of simulations and experiments with the swarm-bot) that self-assembly can offer robotic systems additional capabilities and functions useful for the accomplishment of concrete tasks.


Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

8

Lambert, Anthony. "Méthodes pour l'amélioration de la qualité dans l'Internet inter-domaine." Compiègne, 2009. http://www.theses.fr/2009COMP1826.

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Les différents réseaux qui composent l’Internet sont regroupés au sein d’entités appelées systèmes autonomes (AS) et sont administrés unilatéralement par différents types d’acteurs. Afin d’assurer la connectivité et l’accessibilité totale, les AS s’interconnectent et s'échangent des informations sur les moyens de joindre les réseaux qu’ils hébergent par le biais du protocole BGP. L’objet de la thèse est la conception et la validation de nouveaux mécanismes permettant d’améliorer la qualité du transport des flux de trafic dans l’Internet inter-domaine. Les travaux menés ont tout d’abord visé à obtenir une meilleure compréhension de la dynamique inter-domaine et de ses causes au travers du développement de méthodes de tomographie et de Root Cause Analysis. Puis, après exploitation des résultats obtenus, nous nous sommes attachés à développer une méthode de construction de temporisateurs ”efficaces” qui appliquée à BGP permet la réduction du phénomène de path exploration
The Internet is made of thousands of networks gathered into Autonomous Systems (AS) and controlled by various kinds of administrative entities. In order to provide full connectivity and reachability to the Internet, the AS connect to one another and exchange routing information about their networks through the BGP protocol. This thesis was all about developing new methods to improve the Quality of Service in the Internet at the AS level granularity. We first focused on improving our knowledge of the inter-domain dynamics through tomography and Root Cause Analysis studies. Then, based on the results of these studies, we have developed new timers, which reduce the path exploration phenomenon when applied to the BGP protocol
9

Flodin, Caroline. "Sjöräddning och obemannade autonoma farkoster, hur är det med uppgifterna? : En fallstudie om riktlinjer för datahantering i sjöräddning med obemannade autonoma farkoster." Thesis, Linköpings universitet, Informationssystem och digitalisering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177792.

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Sjöräddning i Sverige sker genom samverkan mellan statliga verksamheter, kommuner och frivilligorganisationer för ett gemensamt mål att rädda personer som råkat i sjönöd. Tid är ofta en kritisk faktor i räddningsuppdragen men ett snabbt och oplanerat utryck riskerar samtidigt att sätta räddningsaktörerna själva i farozonen. Utvecklingen av obemannade autonoma farkoster för SAR (eng. Search And Rescue) ses som en lösning på behovet att kunna snabbt skicka hjälp till samt få ögon på incidentplatsen utan att försätta räddningsaktörerna för onödig risk. Nuvarande kommunikationssystem inom svensk sjöräddning kan dock inte hantera annan typ av information än muntlig varav räddningsaktörer endast känner till riktlinjer för hantering av muntlig information. Med ett framtida införande av autonoma farkoster kommer dock fler informationstyper att behöva hanteras i sjöräddningar varav oklarheten om vilka informationstyper autonoma farkoster samlar in och vilka datahanteringskrav som finns är problematiskt. Oklarhet om informationstyperna och deras datahanteringskrav är vidare problematiskt för utvecklingen och implementeringen av autonoma farkoster då risken finns att farkoster och tekniker utvecklas men inte får användas för att de inte är anpassade efter lagkraven på hantering av olika datatyper. I denna studie undersöks därför vilka informationstyper som autonoma farkoster kan samla in vid sjöräddning. Detta för att komma fram till vilka riktlinjer för datahantering som gäller vid sjöräddning med autonoma farkoster. Studien undersöker också vilka informationstyper som är kritiska för en SAR-sjöräddningssamverkan samt vilka informationsdelningsutmaningar som finns i dagens sjöräddning. Studien genomfördes i form av en kvalitativ fallstudie och har tillämpat ett socio-tekniskt systemperspektiv för att bättre se till helheten och besvara frågeställningarna. Resultatet av denna studie visar att autonoma farkoster kan samla in information om sin omgivning, vilket utgör grunden för att skapa en medvetenhet om situationen som är kritiskt för SAR-operationer, och kan även samla in information om sitt eget tillstånd. De lagverk som identifierats utgöra de huvudsakliga restriktionerna är kamerabevakningslagen, lagen för skydd av geografisk information, offentlighets- och sekretesslagen, GDPR och dataskyddslagen. Dessa lagverk innehåller riktlinjer för delning av information och personuppgiftsbehandling i SAR-sjöräddning. Kunskapsbidrag studien har genererat inkluderar bland annat identifiering av datatyper som kan samlas in av autonoma farkoster i en SAR-sjöräddning, och sannolikt andra typer av räddningsinsatser, och delning och hanteringskraven på de datatyperna i räddningsinsatser och därmed kunskap om vilka datatyper som är mest reglerade. Vidare kunskapsbidrag är kunskap om vilka informationstyper som är mest kritiska för SAR-sjöräddningar, och därför bör prioriteras att samlas in och delas, och identifieringen av utmaningar för informationsdelning mellan statliga verksamheter och frivilligorganisationer.
Maritime rescue in Sweden is performed through a cooperation between government agencies, municipalities and non-governmental organisations (NGOs) with the common goal of saving people in distress. Time is often a critical factor in the rescue missions but a fast and unplanned response may at the same time put the rescue workers in danger. The development of unmanned autonomous vehicles for SAR is seen as a solution to the need of being able to quickly sendhelp as well as get eyes on the scene of the incident without exposing the rescue workers for unnecessary risks. However, the current communications systems in Swedish maritime rescue are unable to handle any other type of information except verbal, meaning that rescue workers only know guidelines for handling verbal information. However, with a future implementation of autonomous vehicles, there will be a need to handle more information types in maritime rescue whereas the uncertainty regarding what kind of information autonomous vehicles collect and which data management requirements exist is problematic. The uncertainty about the information types and their data management requirements is also problematic for the development and implementation of autonomous vehicles as there is a risk that vehicles and technologies are developed but not allowed to be used because they are not adapted to the legal requirements on management of the different types of data. Therefore, in this study I examine what information types that autonomous vehicles can collect in a maritime rescue to find out what guidelines for data management that applies during a maritime rescue with autonomous vehicles. The study also examines what kind of information’s are critical for a SAR maritime rescue cooperation as well as what information sharing challenges exist in current maritime rescue. The study was performed as a qualitative case study and has used a socio-technical systems perspective so as to better see the overall picture and answer the research questions. The result shows that autonomous vehicles can collect information about their surroundings, which is the foundation for establishing situation awareness that is critical for SAR-operations, and that they can collect information about their own status. The main laws and regulations that have been identified as constituting the main restrictions are (translated from Swedish) the law of camera surveillance, the law for protection of geographical information, the public access to information and secrecy act, the GDPR and the data protection act. These contains guidelines for sharing information and the processing of personal data in SAR maritime rescue. The knowledge contributions of this study includes among others the identification of datatypes that can be collected by autonomous vehicles in SAR maritime rescue, and probably other types of rescue operations, and the sharing and management requirements on those datatypes in rescue operations and thus knowledge of what datatypes that are the most restricted. Further knowledge contributions is knowledge about which information types that are the most critical for SAR maritime rescue and thus should be prioritised for collection and sharing as well as the identification of challenges for information sharing between government agencies and NGOs.
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Hsu, Yu-Lian, and 許鈺莨. "Construction of an Autonomous Traking Boat." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/60146143076689730869.

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Abstract:
碩士
國立臺灣海洋大學
機械與機電工程學系
103
An autonomous tracking boat and maritime monitor system is constructed in this thesis. The boat uses servo motors to drive outboard flippers as its propelling force. Arduino Mega 2560 microprocessor module is used as core. The boat is also equipped with a GPS sensor and a 3-axis magnetic field processing sensor to capture its longitude and latitude data together with heading angle. The dynamic position and heading angle data is then used to calculate the bearing angle and distance to the target for vehicle guidance. Finally, information between the boat and the monitoring PC is transmitted through Xbee modules to monitor the boat and to deliver commands.
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Book chapters on the topic "Autonomous Boat":

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Divya, R., N. Inchara, Zainab A. Muskaan, Prasad B. Honnavalli, and B. R. Charanraj. "Autonomous Sailing Boat." In Information and Communication Technology for Competitive Strategies (ICTCS 2020), 153–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0882-7_11.

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Kurowski, Martin, Holger Korte, and Bernhard P. Lampe. "Search-and-Rescue-Operation with an Autonomously Acting Rescue Boat." In Autonomous and Intelligent Systems, 141–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31368-4_17.

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Wall, Carrie C., Peter Simard, and David A. Mann. "Distribution and Potential Impact of Boat Noise on Fish Sound Production From an Autonomous Acoustic Array in the Eastern Gulf of Mexico." In Advances in Experimental Medicine and Biology, 403–6. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-7311-5_92.

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Harding, Rebecca, Charles Freestone, and Martin F. Stoelen. "Mine Detonating Sphere-Bot." In Towards Autonomous Robotic Systems, 460–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23807-0_38.

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Steccanella, Lorenzo, Domenico Bloisi, Jason Blum, and Alessandro Farinelli. "Deep Learning Waterline Detection for Low-Cost Autonomous Boats." In Intelligent Autonomous Systems 15, 613–25. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01370-7_48.

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Tambe, Manthan, Sahil Vora, Shaunak Thakar, and Manish M. Parmar. "Autonomous Package Dispatcher Bot Using Video Processing." In Proceedings of International Conference on Intelligent Manufacturing and Automation, 395–405. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4485-9_41.

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Dunbabin, Matthew. "Autonomous Greenhouse Gas Sampling Using Multiple Robotic Boats." In Springer Tracts in Advanced Robotics, 17–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27702-8_2.

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Boni, Enrico, Marco Montagni, and Luca Pugi. "Autonomous Sail Surface Boats, Design and Testing Results of the MOUNTAINS Prototype." In Lecture Notes in Electrical Engineering, 453–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11973-7_54.

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Saoud, Hadi, Frédéric Plumet, and Faiz Ben Amar. "Adaptive Sampling with a Fleet of Autonomous Sailing Boats Using Artificial Potential Fields." In Marine Robotics and Applications, 15–27. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70724-2_2.

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Aldegheri, S., D. D. Bloisi, J. J. Blum, N. Bombieri, and A. Farinelli. "Fast and Power-Efficient Embedded Software Implementation of Digital Image Stabilization for Low-Cost Autonomous Boats." In Field and Service Robotics, 129–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67361-5_9.

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Conference papers on the topic "Autonomous Boat":

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Junior, Andouglas G. S., Andre P. D. Araujo, Marcus V. A. Silva, Rafael V. Aroca, and Luiz M. G. Goncalves. "N-BOAT: An Autonomous Robotic Sailboat." In 2013 Latin American Robotics Symposium and Competition (LARS/LARC). IEEE, 2013. http://dx.doi.org/10.1109/lars.2013.52.

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Silva, Sergio Rui, Sergio Cunha, Anibal Matos, and Nuno Cruz. "An Autonomous Boat Based Synthetic Aperture Sonar." In Oceans 2007. IEEE, 2007. http://dx.doi.org/10.1109/oceans.2007.4449358.

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Subramanian, Anbumani, Xiaojin Gong, Christopher L. Wyatt, and Daniel Stilwell. "Shoreline Detection in Images for Autonomous Boat Navigation." In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers. IEEE, 2006. http://dx.doi.org/10.1109/acssc.2006.354902.

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Xinping Bao, K. Nonami, and Zhenyu Yu. "Combined yaw and roll control of an autonomous boat." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152410.

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Noorizadeh, Mohammad, and Nader Meskin. "Design of small autonomous boat for course-keeping manuevers." In 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2017. http://dx.doi.org/10.1109/codit.2017.8102712.

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Trentelman, Thom, Joshua Sutherland, Kazuya Oizumi, and Kazuhiro Aoyama. "Modelica Based Naval Architecture Library for Small Autonomous Boat Design." In The 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017. Linköping University Electronic Press, 2017. http://dx.doi.org/10.3384/ecp17132643.

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Terreran, Matteo, Morris Antonello, and Stefano Ghidoni. "Boat Hunting with Semantic Segmentation for Flexible and Autonomous Manufacturing." In 2019 European Conference on Mobile Robots (ECMR). IEEE, 2019. http://dx.doi.org/10.1109/ecmr.2019.8870921.

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Bean, Thomas A., Akira Okamoto, John R. Canning, and Dean B. Edwards. "A Nonlinear Fuzzy Logic Controller Developed for an Autonomous Surface Boat." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85717.

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This paper presents an optimized nonlinear fuzzy logic controller designed for an autonomous surface craft and describes the process by which it was found. The nonlinear fuzzy logic controller described herein was developed to maintain the linear feedback control of an optimal set of controller gains when the state is near the operating point. The simplex optimization method was utilized to find the optimal fuzzy logic parameters that define the shape of the control law away from the normal operating point. The resultant controller showed approximately a 20% improvement over the optimal linear controller.
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"Development of an Autonomous Boat for Sustainable Aquatic Plant Biomass Collection." In 2014 ASABE Annual International Meeting. American Society of Agricultural and Biological Engineers, 2014. http://dx.doi.org/10.13031/aim.20141900179.

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Prempraneerach, Pradya, Kitchalerm Thamchaitas, and Pasan Kulvanit. "Autonomous waypoint tracking of kayak boat using state-variable feedback control." In OCEANS 2012 - YEOSU. IEEE, 2012. http://dx.doi.org/10.1109/oceans-yeosu.2012.6263616.

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