Assessment of Radiation-Induced Soft Error on Unmanned Surface Vehicles

The presence of unmanned surface vehicles (USVs) is increasingly frequent in lakes and water reservoirs, performing tasks such as monitoring water quality or delivering goods across the water. However, the emergence of such autonomous vessels raises concerns in terms of safety for people sharing the...

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Veröffentlicht in:	IEEE transactions on nuclear science Jg. 71; H. 8; S. 1589 - 1597
Hauptverfasser:	Fleck, Marcos A., Pereira, Elisa G., Gava, Jonas F., Silva, Henrique B., Moraes, Fernando G., Calazans, Ney L.V., Meneguzzi, Felipe, Bastos, Rodrigo P., Reis, Ricardo A. L., Ost, Luciano, Garibotti, Rafael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithms Autonomous vehicles Engineering Sciences Feature extraction Floating bodies Inference algorithms Lakes Micro and nanotechnologies Microelectronics Neutron radiation Neutrons Object recognition object recognition algorithm Obstacle avoidance Radiation Radiation effects Reliability Safety Soft errors Strategy Surface vehicles uncrewed surface vessels unmanned surface vehicles (USVs) Unmanned vehicles Vessels Water monitoring Water quality YOLO Neutron radiation Uncrewed Surface Vessels Unmanned Surface Vehicles USVs USVs Object Recognition Algorithm
ISSN:	0018-9499, 1558-1578
Online-Zugang:	Volltext
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