Records |
Author |
Sianna Puente; Cindy Madrid; Miguel Realpe; Boris X. Vintimilla |
Title |
An Empirical Comparison of DCNN libraries to implement the Vision Module of a Danger Management System |
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Conference Article |
Year |
2017 |
Publication |
2017 International Conference on Deep Learning Technologies (ICDLT 2017) |
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Volume |
Part F128535 |
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Pages |
60-65 |
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no |
Call Number |
cidis @ cidis @ |
Serial |
56 |
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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 |
2023 |
Publication |
International Conference on Geospatial Information Sciences, iGISc 2023 |
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no |
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cidis @ cidis @ |
Serial |
228 |
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Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
Title |
A Fault Tolerant Perception system for autonomous vehicles |
Type |
Conference Article |
Year |
2016 |
Publication |
35th Chinese Control Conference (CCC2016), International Conference on, Chengdu |
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Issue |
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Pages |
1-6 |
Keywords |
Fault Tolerant Perception, Sensor Data Fusion, Fault Tolerance, Autonomous Vehicles, Federated Architecture |
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 |
52 |
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