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Vision-Based Pedestrian Protection Systems for Intelligent Vehicles
Geronimo, David; Lopez, Antonio M.
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Description for Vision-Based Pedestrian Protection Systems for Intelligent Vehicles
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 124 pages, 42 black & white illustrations, 1 black & white tables, biography. BIC Classification: TRT; UYQV. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 201.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
124
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
114
Place of Publication
New York, NY, United States
ISBN
9781461479864
SKU
V9781461479864
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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