Distributed Pedestrian Detection Alerts Based on Data Fusion with Accurate Localization

Sensors

Fernando Garc໚¹  Felipe Jiménez²  José Javier Anaya²  José Mar໚ Armingol¹  José Eugenio Naranjo² 

[1]Intelligent Systems Laboratory, Universidad Carlos III de Madrid, Avda de la Universidad 30, Leganés 28911, Madrid, Spain

[2] E-Mails:

[3]INSIA, Technical University of Madrid, Carretera de Valencia, km.7, Madrid 28031, Spain

[4] E-Mails:

关键词: Advance Driver Assistance Systems;    VANETs;    V2V;    data fusion;    laser scanner and computer vision;   

DOI  :  10.3390/s130911687

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.