Records |
Author |
Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe |
Title |
UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review |
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Conference Article |
Year |
2023 |
Publication |
IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, 4-7 julio 2023 |
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979-835033337-4 |
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no |
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cidis @ cidis @ |
Serial |
214 |
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Author |
Sara Nieto, Evelyn Mejia, Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe |
Title |
A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning |
Type  |
Conference Article |
Year |
2024 |
Publication |
Lecture Notes in Geoinformation and Cartography: 3rd International Conference on Geospatial Information Sciences, iGISc 2023 Ciudad de México 14-17 November 2023 |
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147 - 158 |
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no |
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cidis @ cidis @ |
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228 |
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Author |
Tyrone Rodríguez, Adriana Guilindro, Paolo Piedrahita & Miguel Realpe |
Title |
Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning |
Type  |
Conference Article |
Year |
2025 |
Publication |
Lecture Notes in Networks and Systems: 9th International Congress on Information and Communication Technology ICICT 2024 London 19 – 22 Febraury 2024 |
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45 - 57 |
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no |
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cidis @ cidis @ |
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239 |
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Author |
Henry O. Velesaca , Miguel Realpe, Angel D. Sappa & Alice Gomez |
Title |
Analysis of Hidden Patterns in Road Accident Dataset using Clustering Techniques |
Type  |
Conference Article |
Year |
2024 |
Publication |
SmartTech-IC 2024 4th International Conference on Smart Technologies, Systems and Applications |
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no |
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cidis @ cidis @ |
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257 |
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Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
Title |
Multi-sensor Fusion Module in a Fault Tolerant Perception System for Autonomous Vehicles |
Type  |
Journal Article |
Year |
2016 |
Publication |
Journal of Automation and Control Engineering (JOACE) |
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Vol. 4 |
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Pages |
pp. 430-436 |
Keywords |
Fault Tolerance, Data Fusion, Multi-sensor Fusion, Autonomous Vehicles, Perception System |
Abstract |
Driverless vehicles are currently being tested on public roads in order to examine their ability to perform in a safe and reliable way in real world situations. However, the long-term reliable operation of a vehicle’s diverse sensors and the effects of potential sensor faults in the vehicle system have not been tested yet. This paper is proposing a sensor fusion architecture that minimizes the influence of a sensor fault. Experimental results are presented simulating faults by introducing displacements in the sensor information from the KITTI dataset. |
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English |
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English |
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cidis @ cidis @ |
Serial |
51 |
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