Authors

Salerno, W., Adurthi, N., Singh, T., Singla, P., Bubalo, A., Cornacchia, M., Alford, M. and Jones, E.

Source

Journal of Advanced in Information Fusion 10(1).

Abstract

The focus of this paper is on the use of ground target kinematics to estimate the underlying road network on which the vehicles are assumed to be travelling. Assuming that the road network can be represented as an amalgamation of straight line segments, a Hough transform approach is used to identify portion of road which correspond to straight line segments. Since multiple tracks can be associated with one segment of the road and since the track estimates are inherently uncertain, an iterative approach is presented to identify a paramteric representation of the line segments of the roads using the total least squares cost function. Cramer-Rao bounds are identified to characterize the bounds on the uncertainty associated with the proposed approach. A complex dataset which includes multiple tracks is used to illustrate the ability of the proposed algorithm to identify the underling road network and characterize the uncertainty associated with the parmetric estimate of the road.

@article{Salerno2015,
title = "Road Network Identification by means of the Hough Transform with Uncertainty Analysis",
journal = "Journal of Advances in Information Fusion",
volume = "10",
number = "1",
pages = "58 -- 72",
year = "2015",
author = "Salerno, E., Adurthi, N., Singh, T., Singla, P., Bubalo, A., Cornacchia, M., Alford, M. and Jones, E.",
keywords = "Road Network, Hough Transform, Total Least Squares"
}