Browse Publications Technical Papers 2017-01-1405
2017-03-28

Pedestrian and Vehicle Recognition Based on Radar for Autonomous Emergency Braking 2017-01-1405

Autonomous Emergency Braking Systems (AEBS) usually contain radar, (stereo) camera and/or LiDAR-based technology to identify potential collision partners ahead of the car, such that to warn the driver or automatically brake to avoid or mitigate a crash. The advantage of camera is less cost: however, is inevitable to face the defects of cameras in AEBS, that is, the image recognition cannot perform good accuracy in the poor or over-exposure light condition. Therefore, the compensation of other sensors is of importance. Motivated by the improvement of false detection, we propose a Pedestrian-and-Vehicle Recognition (PVR) algorithm based on radar to apply to AEBS. The PVR employs the radar cross section (RCS) and standard deviation of width of obstacle to determine whether a threshold value of RCS and standard deviation of width of the pedestrian and vehicle is crossed, and to identity that the objective is a pedestrian or vehicle, respectively. The performance of the proposed algorithm is pressed via the experimental test data.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Development of Automatic Braking System to Help Reduce Rear Impacts

2017-01-1408

View Details

JOURNAL ARTICLE

Power Assisted Braking Control Based on a Novel Mechatronic Booster

2016-01-1644

View Details

TECHNICAL PAPER

A Study on Sensor Fusion for Fault Tolerant Brake-by-Wire Driver Input Design with Dissimilar Sensors

2006-01-1025

View Details

X