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Journal articles on the topic 'Autonomous system'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Chen, Hualong, Yuanqiao Wen, Man Zhu, Yamin Huang, Changshi Xiao, Tao Wei, and Axel Hahn. "From Automation System to Autonomous System: An Architecture Perspective." Journal of Marine Science and Engineering 9, no. 6 (June 10, 2021): 645. http://dx.doi.org/10.3390/jmse9060645.

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Autonomy is the core capability of future systems, and architecture design is one of the critical issues in system development and implementation. To discuss the architecture of autonomous systems in the future, this paper reviews the developing progress of architectures from automation systems to autonomous systems. Firstly, the autonomy and autonomous systems in different fields are summarized. The article classifies and summarizes the architecture of typical automated systems and infer three suggestions for building an autonomous system architecture: extensibility, evolvability, and collaborability. Accordingly, this paper builds an autonomous waterborne transportation system, and the architecture is composed of the object layer, cyberspace layer, cognition layer, and application layer, the proposed suggestions made in the construction of the architecture are reflected in the inter-relationships at all layers. Through the cooperation of four layers, the autonomous waterborne transportation system can autonomously complete the system functions, such as system control and transportation service. In the end, the characteristics of autonomous systems are concluded, from which the future primary research directions and the challenges of autonomous systems are provided.

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Verma, Umang. "Autonomous Vehicle System." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2418–23. http://dx.doi.org/10.22214/ijraset.2022.44322.

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Abstract: This paper is on a project an autonomous car is a vehicle capable of sensing its environment and operating without human involvement . A human passenger is not required to take control of then vehicle at any time , nor is a human passenger required to be present in the vehicle at all. Autonomous cars are the future smart cars anticipated to be driver less, efficient and crash avoiding ideal urban car of the future. In this regard the first challenge would be to customize and imbibe existing technology in conventional vehicle to translate them to a near expected autonomous car.

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Ito, Toshihiko, and Hiroshi Wataya. "Autonomous Decentralized System." JAPAN TAPPI JOURNAL 51, no. 3 (1997): 431–39. http://dx.doi.org/10.2524/jtappij.51.431.

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4

Rekhter, Yakov, and Bilal Chinoy. "Injecting inter-autonomous system routes into intra-autonomous system routing." ACM SIGCOMM Computer Communication Review 22, no. 1 (January 1992): 7–27. http://dx.doi.org/10.1145/141790.141791.

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Ramli, Hanif, Wahyu Kuntjoro, and Ahmad Khushairy Makhtar. "Advanced Autonomous Multirotor Response System." Applied Mechanics and Materials 393 (September 2013): 299–304. http://dx.doi.org/10.4028/www.scientific.net/amm.393.299.

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Autonomous Unmanned Aerial Vehicle (UAV) in the form of multi-rotor system is having a great potential in various applications such as disaster management (as first response system) and surveillance. It is known that conventional helicopter system, capable of hovering, is practical and reliable as many applications have confirmed its capabilities. However it is only achievable once highly optimized control architecture is realized. The objective of the research presented in this paper is, to develop a small multi rotor UAV system that is able to autonomously flying from one way point to another in a stable manner. This small UAV is termed as Mini (or Micro) Aerial Vehicle (MAV). In this project, a four-rotor system was developed, and becoming the platform of various sensors system, flight control system, and electric propulsion system. The MAV was programmed to be able to lift off and fly to waypoints making use of GPS. This paper presents the architecture of the MAV and its autonomous flight.

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Harel, David, Assaf Marron, and Joseph Sifakis. "Autonomics: In search of a foundation for next-generation autonomous systems." Proceedings of the National Academy of Sciences 117, no. 30 (July 21, 2020): 17491–98. http://dx.doi.org/10.1073/pnas.2003162117.

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The potential benefits of autonomous systems are obvious. However, there are still major issues to be dealt with before developing such systems becomes a commonplace engineering practice, with accepted and trustworthy deliverables. We argue that a solid, evolving, publicly available, community-controlled foundation for developing next-generation autonomous systems is a must, and term the desired foundation “autonomics.” We focus on three main challenges: 1) how to specify autonomous system behavior in the face of unpredictability; 2) how to carry out faithful analysis of system behavior with respect to rich environments that include humans, physical artifacts, and other systems; and 3) how to build such systems by combining executable modeling techniques from software engineering with artificial intelligence and machine learning.

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Olejár, M., V. Cviklovič, D. Hrubý, and O. Lukáč. "Autonomous control of biaxial tracking photovoltaic system." Research in Agricultural Engineering 61, Special Issue (June 2, 2016): S48—S52. http://dx.doi.org/10.17221/29/2015-rae.

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Tracking photovoltaic systems maximize solar energy on the photovoltaic cells surface in order to maximize the energy gain at a given moment. Energy gain is dependent on the accuracy of photovoltaic cells direction, control method and tracking period. The control of tracking systems is based on theoretical calculations of sun position for a specific position in specific time. Designed control algorithm of the biaxial tracking photovoltaic system is able of autonomous navigation directed to the sun without knowing the position. It is based on the sun position sensor. The designed solution increases the solar gain by 33.8% in comparison with stable photovoltaic systems. It is usable in the research focused on the control method of step-controlled biaxial tracking photovoltaic devices.

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Bharadwaj, A. Adithya, C. Arun Kumar, R. Balasubramanian, and P. Gowtham. "Autonomous Lavatory Cleaning System." IAES International Journal of Robotics and Automation (IJRA) 4, no. 4 (December 1, 2015): 311. http://dx.doi.org/10.11591/ijra.v4i4.pp311-315.

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<p class="Abstract"><span lang="EN-US">The application of integrated robotics is becoming increasingly commonplace in day to day applications. The idea presented in this paper seeks to provide a convenient and a hassle-free means of cleaning public toilets whilst maintaining hygienic and sanitary standards. By using a counter to record the number of times of usage, a line follower mechanism to guide the robot and an RFID module to initiate the flushing, the cleaning operation is fully automated and requires low operational power. Furthermore, a robotic arm is part of the module, so as to thoroughly clean the toilet bowl. Such a provision will curtail the role of manpower in maintenance of public toilets to a great degree, and thus, serves as a win-win situation; a revolting objective is accomplished with considerable ease.</span></p>

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9

Slonim, Noam, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, et al. "An autonomous debating system." Nature 591, no. 7850 (March 17, 2021): 379–84. http://dx.doi.org/10.1038/s41586-021-03215-w.

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Popowski, Stanisław, and Witold Dąbrowski. "Individual Autonomous Navigation System." Transactions on Aerospace Research 2017, no. 3 (September 1, 2017): 84–106. http://dx.doi.org/10.2478/tar-2017-0023.

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Abstract The article presents the Individual Autonomous System Navigation (IANS) supporting–rescuer or firemen in terms of navigation. Basic assumptions, which such a system has to fulfill in terms of functionality and accuracy, are presented. The concept of the ISAN system is based on the implementation of inertial navigation system which the only one to permit fully autonomous functioning. Measurement sensors of the navigation system with microprocessor board are placed in the rescuer’s shoe. To limit the escalation of the navigation errors value, which in the case of inertial navigation rises exponentially, a procedure of navigation parameters upgrading at every step of the rescuer is introduced to the proposed system. This procedure guarantees the required accuracy of navigation achievement. The article describes a developed and manufactured demonstrator of the technology and presents main results of its research. The research conducted in a building consisted in walking on the same level several hundred meters in less than 10 minutes. A walking test with a change of walking height was also performed in order to estimate the accuracy of the vertical channel. Results of the demonstrator’s tests let us conclude that the error of navigation is below 1% of the travelled distance and the accuracy is linear in respect to time. The achieved accuracy is fully sufficient for a practical IANS application.

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Afonin, Vyacheslav Leonidovich, and Vladimir Vladimirovich Sleptsov. "AUTONOMOUS QUADROCOPTER CONTROL SYSTEM." Проблемы машиностроения и автоматизации, no. 4 (2021): 128–37. http://dx.doi.org/10.52261/02346206_2021_4_128.

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12

Ishihara, Hidenori, and Toshio Fukuda. "Micro Autonomous Robotic System." Journal of Robotics and Mechatronics 11, no. 5 (October 20, 1999): 443–47. http://dx.doi.org/10.20965/jrm.1999.p0443.

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Miniaturized autonomous robots have been developed by several research groups. The miniaturized autonomous robot is defined as a miniaturized closed-loop system with microprocessors, microactuators, and microsensors. We developed a micro autonomous robot (MARS) consisting of a microprocessor, microsensors, microactuators, communication units, and batteries. MARS controls itself by a downloaded program supplied through infrared communication. We demonstrate performance of MARS, and discuss system features.

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Hafez, Ahmed A. A., Daniel Montesions-Miracle, and Antoni Sudria-Andreu. "AUTONOMOUS PHOTOVOLTAIC LIGHTING SYSTEM." JES. Journal of Engineering Sciences 40, no. 3 (May 1, 2012): 833–47. http://dx.doi.org/10.21608/jesaun.2012.114413.

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14

Bourbakis, N. G., F. Barlos, and J. S. Mertoguno. "Hermes Autonomous Vision System." International Journal of Pattern Recognition and Artificial Intelligence 12, no. 03 (May 1998): 265–91. http://dx.doi.org/10.1142/s0218001498000191.

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This paper deals with the modeling of an extended quartet multiprocessor kernel used for the evaluation of the Hermes system. Hermes is a multiprocessor hybrid system architecture used as a machine vision system. The functionality of Hermes requires an asynchronous information flow upwards and downwards, where "orders"(in a form of code and data) go down and "abstracted" or processed picture information goes up along the system's hierarchy. Moreover, the overall functional behavior of the Hermes system can be considered as an extended quartet kernel in an abstracted manner. The extended quartet kernel studied here presents either a memory-to-memory (M-M) or a bus-to-bus (B-B) connectivity. The evaluation of these two kernel's configurations (M-M, B-B) defines that the structural design of the Hermes system will be based on the M-M scheme. When failures occur on the quartet kernel, however, the M-M scheme will be converted into a B-B one by using a failure recovery procedure. The evaluation of the quartet kernel configurations is based on a probabilistic model. Failures and recovery procedures on the quartet kernel are discussed and the performance evaluation of the kernel (under failures) is also provided.

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15

Bourgeois, B. S., A. B. Martinez, P. J. Alleman, J. J. Cheramie, and J. M. Gravley. "Autonomous bathymetry survey system." IEEE Journal of Oceanic Engineering 24, no. 4 (1999): 414–23. http://dx.doi.org/10.1109/48.809261.

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Stevenson, J. M., J. R. Olson, and B. J. Sotirin. "Autonomous environmental measurement system." Journal of the Acoustical Society of America 97, no. 5 (May 1995): 3293. http://dx.doi.org/10.1121/1.411521.

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Königsmann, Hans J., John T. Collins, Simon Dawson, and James R. Wertz. "Autonomous orbit maintenance system." Acta Astronautica 39, no. 9-12 (November 1996): 977–85. http://dx.doi.org/10.1016/s0094-5765(97)00084-2.

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18

Juncker, David, Heinz Schmid, Ute Drechsler, Heiko Wolf, Marc Wolf, Bruno Michel, Nico de Rooij, and Emmanuel Delamarche. "Autonomous Microfluidic Capillary System." Analytical Chemistry 74, no. 24 (December 2002): 6139–44. http://dx.doi.org/10.1021/ac0261449.

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Mucciarone, David A., Hans B. DeJong, and Robert B. Dunbar. "Autonomous underwater pumping system." HardwareX 8 (October 2020): e00154. http://dx.doi.org/10.1016/j.ohx.2020.e00154.

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20

Durresi, Arjan, Vamsi Paruchuri, and Leonard Barolli. "Fast autonomous system traceback." Journal of Network and Computer Applications 32, no. 2 (March 2009): 448–54. http://dx.doi.org/10.1016/j.jnca.2008.02.019.

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21

Walters, Jerry L., Edward J. Petrik, Mary Ellen Roth, Long Van Truong, Todd Quinn, and Walter M. Krawczonek. "Autonomous power expert system." Telematics and Informatics 7, no. 3-4 (January 1990): 291–300. http://dx.doi.org/10.1016/s0736-5853(05)80009-7.

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22

Đukić, Ankica. "Autonomous hydrogen production system." International Journal of Hydrogen Energy 40, no. 24 (June 2015): 7465–74. http://dx.doi.org/10.1016/j.ijhydene.2015.02.003.

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23

Fritz, Walter, Ramón García Martínez, Javier R. Blanqué, Rogelio Adobbati, Alberto Rama, and Mario Sarno. "The autonomous intelligent system." Robotics and Autonomous Systems 5, no. 2 (July 1989): 109–25. http://dx.doi.org/10.1016/0921-8890(89)90004-3.

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24

Moridian, Barzin, Daryl Bennett, Nina Mahmoudian, Wayne W. Weaver, and Rush Robinnett. "Autonomous Power Distribution System." IFAC Proceedings Volumes 47, no. 3 (2014): 7–12. http://dx.doi.org/10.3182/20140824-6-za-1003.01732.

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N, Reshika. "Autonomous Trash Tracking System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 19, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem34329.

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Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability among communities. Sensor-equipped trash cans strategically placed in public spaces communicate with the mobile app and municipal waste management systems via the Internet of Things (IoT), providing accurate, up-to-date data on bin statuses. This data-driven approach allows for dynamic optimization of waste collection routes, minimizing operational costs and environmental impact. Furthermore, municipalities can utilize real-time data insights to allocate resources efficiently, schedule maintenance based on usage patterns, and implement targeted educational campaigns. Overall, our technology-driven solution not only enhances efficiency in waste management but also contributes to reducing environmental pollution and promoting sustainable waste disposal practices. Keywords—Smart dustbins, proximity sensors, moisture sensors, App development, software and hardware integration

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Sharath M N and Hemalatha B M. "Autonomous pest management system." Global Journal of Engineering and Technology Advances 19, no. 2 (May 30, 2024): 107–12. http://dx.doi.org/10.30574/gjeta.2024.19.2.0079.

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These days, ranchers are playing a crucial role in the rural areas by working hard and planting crops that help the different districts' social orders obtain their basic needs. Despite the fact that just 44% of pesticides are used worldwide, over 70% of them are used in India. Using these chemicals is contaminating the air. This is one of the major problems in gardening. In order to do this, a robot that sprays pesticides autonomously and with less environmental harm is developed. The project is managed by a remote sensing company. Distant sensor network applications in rural, bio- clinical, ecological, and other fields. The ranchers will really benefit from this bot. Using cell phone support; this bot will splatter chemicals across the entire harvest. It is possible to control this bot efficiently. The robot covers every plant on the property with pesticides by sprinkling them on. This will be applied to application structures for sickness counteraction and problem control. The rancher's time and workload will be reduced by using this bot.

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Nagy, Viktor, and Balázs Horváth. "The effects of autonomous buses to vehicle scheduling system." International Journal of Traffic and Transportation Management 02, no. 02 (October 10, 2020): 19–23. http://dx.doi.org/10.5383/jttm.02.02.003.

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We are more and more close to the time when a higher number of autonomous vehicles are appearing in road traffic. The number of unanswered questions does not diminish but grow. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about selfdriving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice (and also in other countries) the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in the case of three Hungarian cities (Eger, Dunaújváros, Győr). We show how much savings can be achieved by running autonomous buses in European cities with a population of 45 000, 54 000 and 130 000 inhabitants. The results are promising. In smaller cities we could achieve about 20% of economical savings but in bigger cities 40% is also realistic. Our statements are based on only rough calculations and they try to help in preparation for the future.

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Hjalmarsson-Jordanius, Anders, Mikael Edvardsson, Martin Romell, Johan Isacson, Carl-Johan Aldén, and Niklas Sundin. "Autonomous Transport: Transforming Logistics through Driverless Intelligent Transportation." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 7 (September 17, 2018): 24–33. http://dx.doi.org/10.1177/0361198118796968.

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How can autonomous technology be used beyond end-customer autonomous driving features? This position paper addresses this problem by exploring a novel autonomous transport solution applied in the automotive logistics domain. We propose that factory-complete cars can be transformed to become their own autonomous guided vehicles and thus transport themselves when being moved from the factory for shipment. Cars equipped with such a system are driverless and use an onboard autonomous transport solution combined with the advanced driver assistance systems pre-installed in the car for end-customer use. The solution uses factory-equipped sensors as well as the connectivity infrastructure installed in the car. This means that the solution does not require any extra components to enable the car to transport itself autonomously to complete a transport mission in the logistics chain. The solution also includes an intelligent off-board traffic control system that defines the transport mission and manages the interaction between vehicles during systems operation. A prototype of the system has been developed which was tested successfully in live trials at the Volvo Car Group plant in Gothenburg Sweden in 2017. In the paper, autonomous transport is positioned in between autonomous guided vehicles and autonomous driving technology. A review of the literature on autonomous vehicle technology offers contextual background to this positioning. The paper also presents the solution and displays lessons learned from the live trials. Finally, other use areas are introduced for driverless autonomous transport beyond the automotive logistics domain that is the focus of this paper.

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Momeni, Davood, Phongpichit Channuie, and Mudhahir Al Ajmi. "Mapping of non-autonomous dynamical systems to autonomous ones." International Journal of Geometric Methods in Modern Physics 16, no. 06 (June 2019): 1950089. http://dx.doi.org/10.1142/s0219887819500890.

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Using a proper choice of the dynamical variables, we show that a non-autonomous dynamical system transforming to an autonomous dynamical system with a certain coordinate transformations can be obtained by solving a general nonlinear first-order partial differential equations. We examine some special cases and provide particular physical examples. Our framework constitutes general machineries in investigating other non-autonomous dynamical systems.

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Tykhan, Myroslav, Viktor Markovych, and Vitalii Generalov. "MEDICAL REHABILITATION GONIOMETRICAL SYSTEM." Measuring Equipment and Metrology 84, no. 2 (2023): 11–16. http://dx.doi.org/10.23939/istcmtm2023.02.011.

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Physiological rehabilitation is applied in medical practice to restore a person's functional ability after musculoskeletal injuries. Movements in the joints are the main functional indicator of the activity of the organs of support and movement. The paper considers a resistive goniometric sensor in the form of a ball joint. Based on such a sensor, a medical rehabilitation goniometric system is developed. It includes also a data collection device (autonomous data recorder) and a portable modem. That is why the system works autonomously in real-time and transmits data over a distance. This allows the system to be mobile and control joint mobility without the direct involvement of a doctor.

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Lo, Li-Yu, Chi Hao Yiu, Yu Tang, An-Shik Yang, Boyang Li, and Chih-Yung Wen. "Dynamic Object Tracking on Autonomous UAV System for Surveillance Applications." Sensors 21, no. 23 (November 27, 2021): 7888. http://dx.doi.org/10.3390/s21237888.

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The ever-burgeoning growth of autonomous unmanned aerial vehicles (UAVs) has demonstrated a promising platform for utilization in real-world applications. In particular, a UAV equipped with a vision system could be leveraged for surveillance applications. This paper proposes a learning-based UAV system for achieving autonomous surveillance, in which the UAV can be of assistance in autonomously detecting, tracking, and following a target object without human intervention. Specifically, we adopted the YOLOv4-Tiny algorithm for semantic object detection and then consolidated it with a 3D object pose estimation method and Kalman filter to enhance the perception performance. In addition, UAV path planning for a surveillance maneuver is integrated to complete the fully autonomous system. The perception module is assessed on a quadrotor UAV, while the whole system is validated through flight experiments. The experiment results verified the robustness, effectiveness, and reliability of the autonomous object tracking UAV system in performing surveillance tasks. The source code is released to the research community for future reference.

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Shet, Raghavendra M. "Fault Tolerant Control System for Autonomous Vehicle: A Survey." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 813–30. http://dx.doi.org/10.5373/jardcs/v12sp8/20202585.

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Lidoris, Georgios, Florian Rohrmüller, Dirk Wollherr, and Martin Buss. "System interdependence analysis for autonomous robots." International Journal of Robotics Research 30, no. 5 (January 17, 2011): 601–14. http://dx.doi.org/10.1177/0278364910393040.

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With the increasing complexity of robotic systems, system robustness and efficiency are harder to achieve, since they are determined by the interplay of all of a system’s components. In order to improve the robustness of such systems, it is essential to identify the system components that are crucial for each task and the extent to which they are affected by other components and the environment. Such knowledge will help developers to improve their systems, and can also be directly utilized by the systems themselves, for example, to detect failures and thereby correctly adjust the system’s behavior. In this article a method of system interdependence analysis is presented. The basic idea is to learn and quantitatively evaluate the coherence between performance indicators of different system components, as well as the influence of environmental parameters on the system. To validate the proposed approach, system interdependence analysis is applied to the navigation system of an autonomous mobile robot. Its navigational methods are presented and suitable indicators are derived. The results of using the method, based on experimental data from an extended field experiment, are given.

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ANANDA, M. P., H. BERNSTEIN, W. A. FEESS, and T. C. PAUGSTAT. "Global Positioning System (GPS) Autonomous User System." Navigation 35, no. 2 (June 1988): 197–216. http://dx.doi.org/10.1002/j.2161-4296.1988.tb00952.x.

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Garg, Animesh, Anju Toor, Sahil Thakkar, Shiwangi Goel, Sachin Maheshwari, and Satish Chand. "The Autotrix: Design and Implementation of an Autonomous Urban Driving System." Advanced Materials Research 403-408 (November 2011): 3884–91. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3884.

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The Autotrix is an interactive, intelligent, Autonomous Guided Vehicle (AGV) designed to serve in urban environments. Autonomous ground vehicle navigation requires the integration of many technologies such as path planning, odometry, control, obstacle avoidance and situational awareness. The objective of this project is for this prototype to navigate autonomously in an urban environment and reach its destination while detecting and avoiding obstacles on the path .This will be achieved by extracting information from multiple sources of real-time data including digital camera, GPS &ultra sonic sensors, collecting data from this extracted information, processing this data and send controlling instructions to our platform (Autotrix). The significance of this work is in presenting the methods needed for real time navigation; GPS based continuous mapping and obstacle avoidance for intelligent autonomous driving systems.

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Shabatura, Yuriy, Maryna Mikhalieva, Sergij Korolko, Liubomyra Odosii, Oleksiy Kuznietsov, and Vasyl Smychok. "Autonomous Cyberphysical System of Controlled Treatment and Water Composition Control." Advances in Cyber-Physical Systems 5, no. 1 (November 28, 2017): 23–29. http://dx.doi.org/10.23939/acps2020.01.023.

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An autonomous cyberphysical adaptive system of controlled purification and control of water composition has been considered. Theoretical analysis and experimental studies of the functioning of the components of the proposed system of controlled purification and control of water composition has been performed. The proposed installation is designed to implement the technology of self-regulating system. When using intelligent digital means, it becomes an autonomous cyberphysical adaptive system of controlled purification and control of water composition.

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Gurenko, Boris, Roman Fedorenko, and Anatoly Nazarkin. "Autonomous Surface Vehicle Control System." Applied Mechanics and Materials 704 (December 2014): 277–82. http://dx.doi.org/10.4028/www.scientific.net/amm.704.277.

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The paper presents an automatic control system for autonomous surface vehicle. The system is designed to organize autonomous performing of mission defined from ground control station. Structure, hardware and software implementation of autonomous surface vehicle and its navigation and control system as well as experiment results are described.

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38

Kadam, Nilesh. "Autonomous Real Time Surveillance System." IOSR Journal of Engineering 03, no. 03 (March 2013): 22–25. http://dx.doi.org/10.9790/3021-03332225.

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Popli, Abhinish. "Advanced Autonomous Network Reconfiguration System." IOSR Journal of Computer Engineering 01, no. 01 (January 2016): 01–06. http://dx.doi.org/10.9790/0661-15010010101-06.

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Mensah, Daniel Antwi, and Emmanuel Djaba. "Autonomous Road Crossing Surveillance System." Advances in Multidisciplinary and scientific Research Journal Publication 29 (December 15, 2021): 171–78. http://dx.doi.org/10.22624/aims/abmic2021-v2-p13.

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Accidents related with vulnerable pedestrians around crosswalks are continued so that proactive safety support system is required. Pedestrian detection from frames captured by a camera is a significant and yet challenging task. An autonomous road crossing surveillance system would be ideal for tracking pedestrians who want to cross the road and assist them. A practical solution for aiding pedestrians regularly, a road crossing surveillance with real-time Pedestrian Detection. Since the background subtraction from videos and images is still a persistent problem and difficult to accomplish. A Haar Cascade Classifier with the full-body detection algorithm is used to detect people in real-time captured by a camera. Keywords: Pedestrian crossing, surveillance, road crossing surveillance, surveillance system, autonomous, Haar Cascade Classifier.

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MacCallum, Taber, Grant A. Anderson, Jane E. Poynter, Louis S. Stodieck, and David M. Klaus. "Autonomous Biological System(ABS) Experiments." Biological Sciences in Space 12, no. 4 (1998): 363–65. http://dx.doi.org/10.2187/bss.12.363.

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Jain, Vanita, Dharmender Saini, and Akshit Ahluwalia. "Real-time autonomous trading system." Journal of Statistics and Management Systems 22, no. 2 (February 17, 2019): 403–13. http://dx.doi.org/10.1080/09720510.2019.1582881.

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Abbasov, I. B., V. V. Ignatyev, and V. V. Orekhov. "Autonomous mobile robotic system “Sesarma”." IOP Conference Series: Materials Science and Engineering 560 (July 10, 2019): 012001. http://dx.doi.org/10.1088/1757-899x/560/1/012001.

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Manuel, Paul, Nan P. dalal, and P. S. A. mal. "Autonomous Tyre Pressure Maintenance System." International Journal of Mechanical Engineering 5, no. 3 (March 25, 2018): 1–5. http://dx.doi.org/10.14445/23488360/ijme-v5i3p101.

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Kouroupetroglou, G. T., C. A. Caroubalos, D. N. Asimakopoulos, and N. T. Vakasis. "Autonomous multichannel data‐acquisition system." Review of Scientific Instruments 59, no. 1 (January 1988): 179–81. http://dx.doi.org/10.1063/1.1140003.

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Valtchev, Ventzislav, Alex Van den Bossche, Jozef Ghijselen, and Jan Melkebeek. "Autonomous renewable energy conversion system." Renewable Energy 19, no. 1-2 (January 2000): 259–75. http://dx.doi.org/10.1016/s0960-1481(99)00040-3.

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Waibel, G., J. Kohnle, R. Cernosa, M. Storz, M. Schmitt, H. Ernst, H. Sandmaier, R. Zengerle, and T. Strobelt. "Highly integrated autonomous microdosage system." Sensors and Actuators A: Physical 103, no. 1-2 (January 2003): 225–30. http://dx.doi.org/10.1016/s0924-4247(02)00349-7.

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Olariu, Stephan, Mohamed Eltoweissy, and Mohamed Younis. "ANSWER: AutoNomouS netWorked sEnsoR system." Journal of Parallel and Distributed Computing 67, no. 1 (January 2007): 111–24. http://dx.doi.org/10.1016/j.jpdc.2006.08.013.

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R. G. Hardin IV and S. W. Searcy. "Autonomous Cotton Module Forming System." Applied Engineering in Agriculture 27, no. 4 (2011): 559–68. http://dx.doi.org/10.13031/2013.38202.

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Madejski, J. "Autonomous track geometry diagnostics system." Journal of Materials Processing Technology 157-158 (December 2004): 194–202. http://dx.doi.org/10.1016/j.jmatprotec.2004.09.029.

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