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Alex Ferrin; Julio Larrea; Miguel Realpe; Daniel Ochoa |
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Detection of utility poles from noisy Point Cloud Data in Urban environments. |
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Conference Article |
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2018 |
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Artificial Intelligence and Cloud Computing Conference (AICCC 2018) |
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53-57 |
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In recent years 3D urban maps have become more common, thus providing complex point clouds that include diverse urban furniture such as pole-like objects. Utility poles detection in urban environment is of particular interest for electric utility companies in order to maintain an updated inventory for better planning and management. The present study develops an automatic method for the detection of utility poles from noisy point cloud data of Guayaquil – Ecuador, where many poles are located next to buildings, or houses are built until the border of the sidewalk getting very close to poles, which increases the difficulty of discriminating poles, walls, columns, fences and building corners. |
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gtsi @ user @ |
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94 |
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Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
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Title |
Sensor Fault Detection and Diagnosis for autonomous vehicles |
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Conference Article |
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2015 |
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2nd International Conference on Mechatronics, Automation and Manufacturing (ICMAM 2015), International Conference on, Singapur, 2015 |
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30 |
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MATEC Web of Conferences |
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1-6 |
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In recent years testing autonomous vehicles on public roads has become a reality. However, before having autonomous vehicles completely accepted on the roads, they have to demonstrate safe operation and reliable interaction with other traffic participants. Furthermore, in real situations and long term operation, there is always the possibility that diverse components may fail. This paper deals with possible sensor faults by defining a federated sensor data fusion architecture. The proposed architecture is designed to detect obstacles in an autonomous vehicle’s environment while detecting a faulty sensor using SVM models for fault detection and diagnosis. Experimental results using sensor information from the KITTI dataset confirm the feasibility of the proposed architecture to detect soft and hard faults from a particular sensor. |
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EDP Sciences |
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English |
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English |
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cidis @ cidis @ |
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42 |
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Wilton Agila; Ricardo Cajo; Douglas Plaza |
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Experts Agents in PEM Fuel Cell Control |
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2015 |
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4ta International Conference on Renewable Energy Research and Applications |
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896 - 900 |
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s- PEM Fuel Cell; Expert Agent; Perceptive Agents; Acting Agent; Fuzzy Controller |
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In the control of the PEM (Proton Exchange Membrane) fuel cell, the existence of both deliberative and reactive processes that facilitate the tasks of control resulting from a wide range of operating scenarios and range of conditions it is required. The latter is essential to adjust its parameters to the multiplicity of circumstances that may occur in the operation of the PEM stack. In this context, the design and development of an expert-agents based architecture for autonomous control of the PEM stack in top working conditions is presented. The architecture integrates perception and control algorithms using sensory and context information. It is structured in a hierarchy of levels with different time window and level of abstraction. The monitoring model and autonomic control of PEM stack has been validated with different types of PEM stacks and operating conditions demonstrating high reliability in achieving the objective of the proposed energy efficiency. Dynamic control of the wetting of the membrane is a clear example. |
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IEEE |
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Palermo, Italy |
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2015 International Conference on Renewable Energy Research and Applications (ICRERA) |
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cidis @ cidis @ |
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46 |
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Author |
Ricardo Cajo; Wilton Agila |
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Title |
Evaluation of algorithms for linear and nonlinear PID control for Twin Rotor MIMO System |
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Conference Article |
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2015 |
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Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on, Quito, 2015 |
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214-219 |
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Twin Rotor MIMO System (TRMS); Proportional-Integral-Derivative (PID); Linear PID Controller; Nonlinear PID Controller; Nonlinear Observer |
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In this paper the linear and nonlinear PID control algorithms are analyzed and for a twin rotor MIMO system (TRMS), whose characteristic is not linear with two degrees of freedom and cross-links. The aim of this work is to stabilize the TRMS, to achieve a particular position and follow a trajectory in the shortest time. Mathematical modeling of helicopter model is simulated using MATLAB / Simulink, the two degrees of freedom are controlled both horizontally and vertically through the proposed controllers. Also nonlinear segmented observers for each degree of freedom are designed in order to measure statements required by the nonlinear controller. Followed, a comparative analysis of both algorithms is presented to evaluate their performance in the real TRMS. |
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IEEE |
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English |
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English |
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2015 Asia-Pacific Conference on Computer Aided System Engineering |
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cidis @ cidis @ |
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36 |
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