Title
Distributed pedestrian detection alerts based on data fusion with accurate localization.
Abstract
Among Advanced Driver Assistance Systems (ADAS) pedestrian detection is a common issue due to the vulnerability of pedestrians in the event of accidents. In the present work, a novel approach for pedestrian detection based on data fusion is presented. Data fusion helps to overcome the limitations inherent to each detection system (computer vision and laser scanner) and provides accurate and trustable tracking of any pedestrian movement. The application is complemented by an efficient communication protocol, able to alert vehicles in the surroundings by a fast and reliable communication. The combination of a powerful location, based on a GPS with inertial measurement, and accurate obstacle localization based on data fusion has allowed locating the detected pedestrians with high accuracy. Tests proved the viability of the detection system and the efficiency of the communication, even at long distances. By the use of the alert communication, dangerous situations such as occlusions or misdetections can be avoided.
Year
DOI
Venue
2013
10.3390/s130911687
SENSORS
Keywords
Field
DocType
Advance Driver Assistance Systems,VANETs,V2V,data fusion,laser scanner and computer vision
Obstacle,Pedestrian,Simulation,Advanced driver assistance systems,Sensor fusion,Real-time computing,Electronic engineering,Global Positioning System,Engineering,Assisted GPS,Pedestrian detection,Communications protocol
Journal
Volume
Issue
ISSN
13
9.0
1424-8220
Citations 
PageRank 
References 
15
0.65
16
Authors
6