Design of Pedestrian Target Selection With Funnel Map for Pedestrian AEB System

Recently, numerous vehicles have been installed with an autonomous emergency braking (AEB) system for protecting pedestrians. This system helps in avoiding or reducing accidents by alerting the driver and controlling the automatic brake actuator before an accident. Moreover, the European New Car Ass...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2017-05, Vol.66 (5), p.3597-3609
Main Authors: Park, Min-Ki, Lee, Sang-Yeob, Kwon, Chan-Keun, Kim, Soo-Won
Format: Article
Language:English
Subjects:
Accidents
Actuators
Algorithms
Automatic control
Autonomous emergency braking (AEB)
Brakes
Braking
camera
Cameras
Mathematical analysis
pedestrian protection
pedestrian target selection
Pedestrians
radar
Radar tracking
Sensor fusion
Vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Recently, numerous vehicles have been installed with an autonomous emergency braking (AEB) system for protecting pedestrians. This system helps in avoiding or reducing accidents by alerting the driver and controlling the automatic brake actuator before an accident. Moreover, the European New Car Assessment Program (NCAP) has stipulated AEB pedestrian systems as a standard requirement since 2016. This paper presents pedestrian target selection using a funnel map for a pedestrian AEB system. The concept of target selection is based on crash probability calculations by comparing the pedestrian's predicted position and the current position to deduce the vehicle speed before an accident occurs. It is necessary to allow early breaking to avoid an accident. To determine the precise warning and brake timing, the warning distance is calculated using the vehicle and sensor fusion information. The pedestrian target selection algorithm is tested using a real vehicle on a test track in three different scenarios for the Euro NCAP using a pedestrian dummy authorized by the Euro NCAP. Upon comparing the results before and after the application of the proposed algorithm, the longitudinal distance is shown to have a maximum margin of 1.5 m, and the vehicle speed has a maximum reduction effect of 24.7 km/h. Test results show that the proposed pedestrian AEB system can avoid or mitigate an accident when the vehicle travels at speeds up to 40 km/h.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2016.2604420