| Records |
| Author |
Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa |
| Title |
Cross-spectral image registration and fusion: an evaluation study |
Type |
Conference Article |
| Year |
2015 |
Publication |
2nd International Conference on Machine Vision and Machine Learning |
Abbreviated Journal |
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| Volume |
331 |
Issue |
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| Keywords |
multispectral imaging; image registration; data fusion; infrared and visible spectra |
| Abstract |
This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented. |
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| Publisher |
Computer Vision Center |
Place of Publication |
Barcelona, Spain |
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| Language |
English |
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English |
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no |
| Call Number |
cidis @ cidis @ |
Serial |
35 |
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| Author |
Miguel Realpe; Boris X. Vintimilla; L. Vlacic |
| Title |
Towards Fault Tolerant Perception for autonomous vehicles: Local Fusion. |
Type |
Conference Article |
| Year |
2015 |
Publication |
IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Siem Reap, 2015. |
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Pages |
253-258 |
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| Abstract |
Many robust sensor fusion strategies have been developed in order to reliably detect the surrounding environments of an autonomous vehicle. However, in real situations there is always the possibility that sensors or other components may fail. Thus, internal modules and sensors need to be monitored to ensure their proper function. This paper introduces a general view of a perception architecture designed to detect and classify obstacles in an autonomous vehicle's environment using a fault tolerant framework, whereas elaborates the object detection and local fusion modules proposed in order to achieve the modularity and real-time process required by the system. |
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no |
| Call Number |
cidis @ cidis @ |
Serial |
37 |
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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) |
Abbreviated Journal |
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| Volume |
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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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
51 |
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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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Pages |
1-6 |
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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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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
52 |
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| Author |
Angely Oyola; Dennis G. Romero; Boris X. Vintimilla |
| Title |
A Dijkstra-based algorithm for selecting the Shortest-Safe Evacuation Routes in dynamic environments (SSER) |
Type |
Conference Article |
| Year |
2017 |
Publication |
The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017) |
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Pages |
131-135 |
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no |
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cidis @ cidis @ |
Serial |
55 |
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| 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 |
Type |
Conference Article |
| Year |
2017 |
Publication |
2017 International Conference on Deep Learning Technologies (ICDLT 2017) |
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| Volume |
Part F128535 |
Issue |
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Pages |
60-65 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
56 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Cross-spectral Image Patch Similarity using Convolutional Neural Network |
Type |
Conference Article |
| Year |
2017 |
Publication |
2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) |
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1-5 |
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no |
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cidis @ cidis @ |
Serial |
57 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Learning to Colorize Infrared Images |
Type |
Conference Article |
| Year |
2017 |
Publication |
15th International Conference on Practical Applications of Agents and Multi-Agent Systems |
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Approved |
no |
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cidis @ cidis @ |
Serial |
58 |
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| Author |
Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla |
| Title |
Infrared Image Colorization based on a Triplet DCGAN Architecture. |
Type |
Conference Article |
| Year |
2017 |
Publication |
13th IEEE Workshop on Perception Beyond the Visible Spectrum – In conjunction with CVPR 2017. (This paper has been selected as “Best Paper Award” ) |
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2017-July |
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Pages |
212-217 |
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no |
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cidis @ cidis @ |
Serial |
62 |
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| Author |
Jorge L. Charco; Boris X. Vintimilla; Angel D. Sappa |
| Title |
Deep learning based camera pose estimation in multi-view environment. |
Type |
Conference Article |
| Year |
2018 |
Publication |
14th IEEE International Conference on Signal Image Technology & Internet based Systems (SITIS 2018) |
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Pages |
224-228 |
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| Abstract |
This paper proposes to use a deep learning network architecture for relative camera pose estimation on a multi-view environment. The proposed network is a variant architecture of AlexNet to use as regressor for prediction the relative translation and rotation as output. The proposed approach is trained from scratch on a large data set that takes as input a pair of images from the same scene. This new architecture is compared with a previous approach using standard metrics, obtaining better results on the relative camera pose. |
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no |
| Call Number |
gtsi @ user @ |
Serial |
93 |
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