Topic
Autonomous system (mathematics)
About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.
Papers published on a yearly basis
Papers
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01 Dec 2019TL;DR: A Health Monitoring System using Component-based Hierarchical approach and Hybrid Bayesian Networks with Residue Evidence for Fault Detection and Diagnosis in lateral and longitudinal controllers, and also in the GPS sensor is presented.
Abstract: Autonomous Vehicles should transform the urban transport scenario. However, to be able to navigate completely autonomously, they also need to deal with faults that its components are subject to. Therefore, Health Monitoring System, is a component of the autonomous system which constantly monitor the integrity of those components, so that safety measures are taken as soon as an abnormal condition is detected. This paper presents a Health Monitoring System using Component-based Hierarchical approach and Hybrid Bayesian Networks with Residue Evidence for Fault Detection and Diagnosis in lateral and longitudinal controllers, and also in the GPS sensor. Finally, the results demonstrated the reliability of the proposed methods for Fault Detection and Diagnosis, and also highlighted the importance of safety protocols for Autonomous Vehicles.
3 citations
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11 Dec 2009TL;DR: Considering autonomous and AD-HOC networking of AFF, such as topology, multiple access mode, integratedmode of inter-satellite communication and measurements, and data transfer protocol, are presented and studied in this paper.
Abstract: Considering autonomous and AD-HOC networking of AFF, such as topology, multiple access mode, integrated
mode of inter-satellite communication and measurements, and data transfer protocol, are presented and studied in this
paper. Inter-satellite non-coherence spread spectrum ranging via full-duplex asynchronous communication link of
CCSDS Proximity-1 transfer frame is deeply researched, and Sufficient simulation and engineering experiments are
implemented and plenty of results are obtained, which show that the integrated mode of intra-satellite communication
and measurement achieves excellent precision, integrates multiple functions in one device with more effective
utilization ratio of channel in radio link. The production of principles and technologies in this dissertation has many
academic and engineering values, can be used in many fields in the future.
3 citations
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TL;DR: The WONM system provides easier management of data collection than previously employed systems by means of autonomous system recovery, periodical state monitoring, and dynamic warning procedures.
Abstract: A system to optimize the management of global space-weather observation networks has been developed by the National Institute of Information and Communications Technology (NICT). Named the WONM (Wide-area Observation Network Monitoring) system, it enables data acquisition, transfer, and storage through connection to the NICT Science Cloud, and has been supplied to observatories for supporting space-weather forecast and research. This system provides us with easier management of data collection than our previously employed systems by means of autonomous system recovery, periodical state monitoring, and dynamic warning procedures. Operation of the WONM system is introduced in this report.
3 citations
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29 Mar 2021TL;DR: This work proposes a perspective towards establishing a framework for uncertainty quantification of autonomous system tracking and health monitoring, which leverages the use of a predictive process structure, which maps uncertainty sources and their interaction according to the quantity of interest and the goal of the predictive estimation.
Abstract: This work proposes a perspective towards establishing a framework for uncertainty quantification of autonomous system tracking and health monitoring. The approach leverages the use of a predictive process structure, which maps uncertainty sources and their interaction according to the quantity of interest and the goal of the predictive estimation. It is systematic and uses basic elements that are system agnostic, and therefore needs to be tailored according to the specificity of the application. This work is motivated by the interest in low-altitude unmanned aerial vehicle operations, where awareness of vehicle and airspace state becomes more relevant as the density of autonomous operations grows rapidly. Predicted scenarios in the area of small vehicle operations and urban air mobility have no precedent, and holistic frameworks to perform prognostics and health management (PHM) at the system- and airspace-level are missing formal approaches to account for uncertainty. At the end of the paper, two case studies demonstrate implementation framework of trajectory tracking and health diagnosis for a small unmanned aerial vehicle.
3 citations