The Resource Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López
Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López
Resource Information
The item Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- Summary
- Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human's appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented
- Language
- eng
- Extent
- 1 online resource (x, 114 pages)
- Contents
-
- 1. Introduction
- 2. Candidates Generation
- 3. Classification
- 4. Completing the System
- 5. Datasets and Benchmarking
- 6. Conclusions
- Isbn
- 9781461479864
- Label
- Vision-based pedestrian protection systems for intelligent vehicles
- Title
- Vision-based pedestrian protection systems for intelligent vehicles
- Statement of responsibility
- David Gerónimo, Antonio M. López
- Language
- eng
- Summary
- Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human's appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorDate
- 1981-
- http://library.link/vocab/creatorName
- Gerónimo, David
- Dewey number
- 006.3/7
- Illustrations
- illustrations
- Index
- no index present
- LC call number
- TA1634
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1969-
- http://library.link/vocab/relatedWorkOrContributorName
- López, Antonio M.
- Series statement
- SpringerBriefs in computer science,
- http://library.link/vocab/subjectName
-
- Computer vision
- Driver assistance systems
- Automotive sensors
- COMPUTERS
- Automotive sensors
- Computer vision
- Driver assistance systems
- Label
- Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. Introduction -- 2. Candidates Generation -- 3. Classification -- 4. Completing the System -- 5. Datasets and Benchmarking -- 6. Conclusions
- Control code
- 857905225
- Dimensions
- unknown
- Extent
- 1 online resource (x, 114 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461479864
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4614-7987-1
- Other physical details
- illustrations
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)857905225
- Label
- Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 1. Introduction -- 2. Candidates Generation -- 3. Classification -- 4. Completing the System -- 5. Datasets and Benchmarking -- 6. Conclusions
- Control code
- 857905225
- Dimensions
- unknown
- Extent
- 1 online resource (x, 114 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461479864
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4614-7987-1
- Other physical details
- illustrations
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)857905225
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Vision-based-pedestrian-protection-systems-for/DM237QSnBB4/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Vision-based-pedestrian-protection-systems-for/DM237QSnBB4/">Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Vision-based-pedestrian-protection-systems-for/DM237QSnBB4/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Vision-based-pedestrian-protection-systems-for/DM237QSnBB4/">Vision-based pedestrian protection systems for intelligent vehicles, David Gerónimo, Antonio M. López</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
