Browse Publications Technical Papers 2017-01-0035
2017-03-28

Vehicle Velocity Measurement Based on Image Registration 2017-01-0035

Vehicle speed is an important factor to driving safety, which is directly related to the stability and braking performance of the vehicle. Besides, the precise measurement of the vehicle speed is the basis of some vehicle active safety systems. Even in the future intelligent transportation, high quality speed information will also play an important role.
The commonly used vehicle speed measurement techniques are based on the wheel speed sensors, which are not accurate, especially when the wheels’ slip rate is not equal to zero. Focusing on these issues, image matching technology has been used to measure the vehicle speed in this paper. The image information of the road in the front of the vehicle is collected, and the pixel displacement of the vehicle is calculated by the matching system, thus accurately vehicle speed can be obtained. Compared with conventional speed measure technology, it has the advantages of wide measuring range, and high accuracy.
Scale Invariant Feature Transform (SIFT) algorithm has been used in this paper to match the images. Firstly, the two-dimensional image Gauss scale-space has been established to extract the features in different scale space by the convolution integrated of input image and the Gauss kernel. To detect the feature points, Difference of Gaussian (DOG) scale-space has been built through the subtraction of adjacent scale-space images. Then, excluding the low contrast points and the edge points from local extreme points in DOG scale space, we can find the key points. To determine the displacement and the trajectory of the vehicle on the image, key points have been matched. So the global geometry transformation relation can be determined and the real-time speed of the vehicle can be calculated combined with the position of the camera.
The research shows that the speed measurement system based on image registration is feasible on dry asphalt road and has good adaptability to the illumination. It can accurately detect the driving speed of the vehicle under conditions of acceleration, deceleration and turning.

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:
COLLECTION

Driver Assistance Systems: Algorithms, Applications and Electronic Sensing, 2018

COLL-TP-00650

View Details

JOURNAL ARTICLE

Real-time Determination of Driver's Driving Behavior during Car Following

2015-01-0297

View Details

JOURNAL ARTICLE

Design and Implementation of a Hybrid Fuzzy-Reinforcement Learning Algorithm for Driver Drowsiness Detection Using a Driving Simulator

02-11-01-0005

View Details

X