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David Castells; Vinh Ngo; Juan Borrego-Carazo; Marc Codina; Carles Sanchez; Debora Gil; Jordi Carrabina |
![goto web page (via DOI) doi](http://refbase.cvc.uab.es/img/doi.gif)
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Title |
A Survey of FPGA-Based Vision Systems for Autonomous Cars |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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Year |
2022 |
Publication |
IEEE Access |
Abbreviated Journal |
ACESS |
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Volume |
10 |
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132525-132563 |
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Autonomous automobile; Computer vision; field programmable gate arrays; reconfigurable architectures |
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Abstract |
On the road to making self-driving cars a reality, academic and industrial researchers are working hard to continue to increase safety while meeting technical and regulatory constraints Understanding the surrounding environment is a fundamental task in self-driving cars. It requires combining complex computer vision algorithms. Although state-of-the-art algorithms achieve good accuracy, their implementations often require powerful computing platforms with high power consumption. In some cases, the processing speed does not meet real-time constraints. FPGA platforms are often used to implement a category of latency-critical algorithms that demand maximum performance and energy efficiency. Since self-driving car computer vision functions fall into this category, one could expect to see a wide adoption of FPGAs in autonomous cars. In this paper, we survey the computer vision FPGA-based works from the literature targeting automotive applications over the last decade. Based on the survey, we identify the strengths and weaknesses of FPGAs in this domain and future research opportunities and challenges. |
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16 December 2022 |
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IEEE |
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IAM; 600.166 |
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no |
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Admin @ si @ CNB2022 |
Serial |
3760 |
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Author |
Saad Minhas; Zeba Khanam; Shoaib Ehsan; Klaus McDonald Maier; Aura Hernandez-Sabate |
![goto web page (via DOI) doi](http://refbase.cvc.uab.es/img/doi.gif)
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Title |
Weather Classification by Utilizing Synthetic Data |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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Year |
2022 |
Publication |
Sensors |
Abbreviated Journal |
SENS |
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22 |
Issue |
9 |
Pages |
3193 |
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Keywords |
Weather classification; synthetic data; dataset; autonomous car; computer vision; advanced driver assistance systems; deep learning; intelligent transportation systems |
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Abstract |
Weather prediction from real-world images can be termed a complex task when targeting classification using neural networks. Moreover, the number of images throughout the available datasets can contain a huge amount of variance when comparing locations with the weather those images are representing. In this article, the capabilities of a custom built driver simulator are explored specifically to simulate a wide range of weather conditions. Moreover, the performance of a new synthetic dataset generated by the above simulator is also assessed. The results indicate that the use of synthetic datasets in conjunction with real-world datasets can increase the training efficiency of the CNNs by as much as 74%. The article paves a way forward to tackle the persistent problem of bias in vision-based datasets. |
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21 April 2022 |
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MDPI |
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IAM; 600.139; 600.159; 600.166; 600.145; |
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Admin @ si @ MKE2022 |
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3761 |
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Guillermo Torres; Debora Gil; Antoni Rosell; S. Mena; Carles Sanchez |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
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Title |
Virtual Radiomics Biopsy for the Histological Diagnosis of Pulmonary Nodules – Intermediate Results of the RadioLung Project |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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2023 |
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International Journal of Computer Assisted Radiology and Surgery |
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IJCARS |
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IAM |
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Admin @ si @ TGM2023 |
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3830 |
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Author |
Juan Borrego-Carazo; Carles Sanchez; David Castells; Jordi Carrabina; Debora Gil |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
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Title |
A benchmark for the evaluation of computational methods for bronchoscopic navigation |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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Year |
2022 |
Publication |
International Journal of Computer Assisted Radiology and Surgery |
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IJCARS |
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17 |
Issue |
1 |
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IAM |
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Admin @ si @ BSC2022 |
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3832 |
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Antoni Rosell; Sonia Baeza; S. Garcia-Reina; JL. Mate; Ignasi Guasch; I. Nogueira; I. Garcia-Olive; Guillermo Torres; Carles Sanchez; Debora Gil |
![goto web page url](http://refbase.cvc.uab.es/img/www.gif)
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Title |
EP01.05-001 Radiomics to Increase the Effectiveness of Lung Cancer Screening Programs. Radiolung Preliminary Results |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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2022 |
Publication |
Journal of Thoracic Oncology |
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JTO |
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17 |
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9 |
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S182 |
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IAM |
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no |
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Admin @ si @ RBG2022b |
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3834 |
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Antoni Rosell; Sonia Baeza; S. Garcia-Reina; JL. Mate; Ignasi Guasch; I. Nogueira; I. Garcia-Olive; Guillermo Torres; Carles Sanchez; Debora Gil |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
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Title |
Radiomics to increase the effectiveness of lung cancer screening programs. Radiolung preliminary results. |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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2022 |
Publication |
European Respiratory Journal |
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ERJ |
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60 |
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66 |
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IAM |
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Admin @ si @ RBG2022c |
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3835 |
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Jose Elias Yauri; M. Lagos; H. Vega-Huerta; P. de-la-Cruz; G.L.E Maquen-Niño; E. Condor-Tinoco |
![goto web page (via DOI) doi](http://refbase.cvc.uab.es/img/doi.gif)
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Title |
Detection of Epileptic Seizures Based-on Channel Fusion and Transformer Network in EEG Recordings |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Journal Article |
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Year |
2023 |
Publication |
International Journal of Advanced Computer Science and Applications |
Abbreviated Journal |
IJACSA |
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14 |
Issue |
5 |
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1067-1074 |
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Epilepsy; epilepsy detection; EEG; EEG channel fusion; convolutional neural network; self-attention |
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Abstract |
According to the World Health Organization, epilepsy affects more than 50 million people in the world, and specifically, 80% of them live in developing countries. Therefore, epilepsy has become among the major public issue for many governments and deserves to be engaged. Epilepsy is characterized by uncontrollable seizures in the subject due to a sudden abnormal functionality of the brain. Recurrence of epilepsy attacks change people’s lives and interferes with their daily activities. Although epilepsy has no cure, it could be mitigated with an appropriated diagnosis and medication. Usually, epilepsy diagnosis is based on the analysis of an electroencephalogram (EEG) of the patient. However, the process of searching for seizure patterns in a multichannel EEG recording is a visual demanding and time consuming task, even for experienced neurologists. Despite the recent progress in automatic recognition of epilepsy, the multichannel nature of EEG recordings still challenges current methods. In this work, a new method to detect epilepsy in multichannel EEG recordings is proposed. First, the method uses convolutions to perform channel fusion, and next, a self-attention network extracts temporal features to classify between interictal and ictal epilepsy states. The method was validated in the public CHB-MIT dataset using the k-fold cross-validation and achieved 99.74% of specificity and 99.15% of sensitivity, surpassing current approaches. |
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IAM |
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no |
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Admin @ si @ |
Serial |
3856 |
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Author |
Albert Andaluz |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
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Title |
Harmonic Phase Flow: User's guide |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Manual |
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2012 |
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CVC |
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HPF is a plugin for the computation of clinical scores under Osirix.
This manual provides a basic guide for experienced clinical staff. Chapter 1 provides the theoretical background in which this plugin is based.
Next, in chapter 2 we provide basic instructions for installing and uninstalling this plugin. chapter 3we shows a step-by-step scenario to compute clinical scores from tagged-MRI images with HPF. Finally, in chapter 4 we provide a quick guide for plugin developers |
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Bellaterra, Barcelona (Spain) |
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Computer Vision Center |
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CVC |
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Barcelona |
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english |
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english |
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IAM |
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no |
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IAM @ iam @ And2012 |
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1863 |
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Permanent link to this record |
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Author |
Petia Radeva; Enric Marti |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
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Title |
Facial Features Segmentation by Model-Based Snakes. |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
Miscellaneous |
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Year |
1995 |
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Trobada de Joves Investigadors, IIIA. |
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Bellaterra (Barcelona), Spain |
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MILAB; IAM |
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BCNPCL @ bcnpcl @ RaM1995a |
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130 |
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Author |
Enric Marti; Debora Gil; Carme Julia |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
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Title |
Una experiencia de PBL en la docencia de la asignatura de Graficos por Computador en Ingenieria Informatica |
Type ![sorted by Type field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
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2006 |
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IV Contreso Internacional de Docencia Universitaria e Innovacion |
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1 |
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375 |
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Barcelona (Spain) |
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IAM;ADAS; |
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IAM @ iam @ MGJ2006b |
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931 |
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