Title
A new approach to urban pedestrian detection for automatic braking
Abstract
This paper presents an application of a pedestrian-detection system aimed at localizing potentially dangerous situations under specific urban scenarios. The approach used in this paper differs from those implemented in traditional pedestrian-detection systems, which are designed to localize all pedestrians in the area in front of the vehicle. Conversely, this approach searches for pedestrians in critical areas only. The environment is reconstructed with a standard laser scanner, whereas the following check for the presence of pedestrians is performed due to the fusion with a vision system. The great advantages of such an approach are that pedestrian recognition is performed on limited image areas, therefore boosting its timewise performance, and no assessment on the danger level is finally required before providing the result to either the driver or an onboard computer for automatic maneuvers. A further advantage is the drastic reduction of false alarms, making this system robust enough to control nonreversible safety systems.
Year
DOI
Venue
2009
10.1109/TITS.2009.2032770
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
dangerous situation,pedestrian-detection system,nonreversible safety system,drastic reduction,approach search,automatic maneuvers,traditional pedestrian-detection system,urban pedestrian detection,danger level,critical area,vision system,new approach,pattern recognition,ergonomics,robust control,automatic control,human factors,machine vision,fuzzy logic,control systems,laser scanner,image reconstruction,laser fusion,computer vision,image recognition,injury prevention,boosting,suicide prevention,image processing,artificial intelligent,braking,occupational safety
Computer vision,Object detection,Pedestrian,System safety,Machine vision,Simulation,Automatic control,Automatic braking,Artificial intelligence,Constant false alarm rate,Engineering,Pedestrian detection
Journal
Volume
Issue
ISSN
10
4
1524-9050
Citations 
PageRank 
References 
63
3.49
6
Authors
5
Name
Order
Citations
PageRank
Alberto Broggi11527178.28
Pietro Cerri224016.96
Stefano Ghidoni320019.59
Paolo Grisleri421417.99
Ho Gi Jung539133.61