Cargando…
Vision-Based Blind Spot Warning System by Deep Neural Networks
Traffic accidents represent one of the most serious problems around the world. Many efforts have been concentrated on implementing Advanced Driver Assistance Systems (ADAS) to increase safety by reducing critical tasks faced by the driver. In this paper, a Blind Spot Warning (BSW) system capable of...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297588/ http://dx.doi.org/10.1007/978-3-030-49076-8_18 |
_version_ | 1783547038003101696 |
---|---|
author | Virgilio G., Víctor R. Sossa, Humberto Zamora, Erik |
author_facet | Virgilio G., Víctor R. Sossa, Humberto Zamora, Erik |
author_sort | Virgilio G., Víctor R. |
collection | PubMed |
description | Traffic accidents represent one of the most serious problems around the world. Many efforts have been concentrated on implementing Advanced Driver Assistance Systems (ADAS) to increase safety by reducing critical tasks faced by the driver. In this paper, a Blind Spot Warning (BSW) system capable of virtualizing cars around the driver’s vehicle is presented. The system is based on deep neural models for car detection and depth estimation using images captured with a camera located on top of the main vehicle, then transformations are applied to the image and to generate the appropriate information format. Finally the cars in the environment are represented in a 3D graphical interface. We present a comparison between car detectors and another one between depth estimators from which we choose the best performance ones to be implemented in the BSW system. In particular, our system offers a more intuitive assistance interface for the driver allowing a better and quicker understanding of the environment from monocular cameras. |
format | Online Article Text |
id | pubmed-7297588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72975882020-06-17 Vision-Based Blind Spot Warning System by Deep Neural Networks Virgilio G., Víctor R. Sossa, Humberto Zamora, Erik Pattern Recognition Article Traffic accidents represent one of the most serious problems around the world. Many efforts have been concentrated on implementing Advanced Driver Assistance Systems (ADAS) to increase safety by reducing critical tasks faced by the driver. In this paper, a Blind Spot Warning (BSW) system capable of virtualizing cars around the driver’s vehicle is presented. The system is based on deep neural models for car detection and depth estimation using images captured with a camera located on top of the main vehicle, then transformations are applied to the image and to generate the appropriate information format. Finally the cars in the environment are represented in a 3D graphical interface. We present a comparison between car detectors and another one between depth estimators from which we choose the best performance ones to be implemented in the BSW system. In particular, our system offers a more intuitive assistance interface for the driver allowing a better and quicker understanding of the environment from monocular cameras. 2020-04-29 /pmc/articles/PMC7297588/ http://dx.doi.org/10.1007/978-3-030-49076-8_18 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Virgilio G., Víctor R. Sossa, Humberto Zamora, Erik Vision-Based Blind Spot Warning System by Deep Neural Networks |
title | Vision-Based Blind Spot Warning System by Deep Neural Networks |
title_full | Vision-Based Blind Spot Warning System by Deep Neural Networks |
title_fullStr | Vision-Based Blind Spot Warning System by Deep Neural Networks |
title_full_unstemmed | Vision-Based Blind Spot Warning System by Deep Neural Networks |
title_short | Vision-Based Blind Spot Warning System by Deep Neural Networks |
title_sort | vision-based blind spot warning system by deep neural networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297588/ http://dx.doi.org/10.1007/978-3-030-49076-8_18 |
work_keys_str_mv | AT virgiliogvictorr visionbasedblindspotwarningsystembydeepneuralnetworks AT sossahumberto visionbasedblindspotwarningsystembydeepneuralnetworks AT zamoraerik visionbasedblindspotwarningsystembydeepneuralnetworks |