Stereo accuracy for collision avoidance for varying collision trajectories


by Khan, W and Klette, R
Abstract:
In this study, we have generalized our previous tool for assisting a safety engineer in assessing collision trajectories by extending from colliding objects with constant velocity to more general variable velocity ones. We have also highlighted that a linear system cannot be relied upon for handling a colliding object with variable velocity. To deal with such trajectories, past observations are weighted depending on velocities at those locations; priority is given to locations with reduced velocity. Based on this hypothesis, we have shown that the weighted system outperforms a linear one. The benefit is that it always issues a timely warning, even if the trajectory of the colliding object keeps on changing over time. © 2013 IEEE.
Reference:
Stereo accuracy for collision avoidance for varying collision trajectories (Khan, W and Klette, R), In IEEE Intelligent Vehicles Symposium, Proceedings, 2013.
Bibtex Entry:
@inproceedings{khan2013stereotrajectories,
author = "Khan, W and Klette, R",
booktitle = "IEEE Intelligent Vehicles Symposium, Proceedings",
pages = "1259--1264",
title = "Stereo accuracy for collision avoidance for varying collision trajectories",
year = "2013",
abstract = "In this study, we have generalized our previous tool for assisting a safety engineer in assessing collision trajectories by extending from colliding objects with constant velocity to more general variable velocity ones. We have also highlighted that a linear system cannot be relied upon for handling a colliding object with variable velocity. To deal with such trajectories, past observations are weighted depending on velocities at those locations; priority is given to locations with reduced velocity. Based on this hypothesis, we have shown that the weighted system outperforms a linear one. The benefit is that it always issues a timely warning, even if the trajectory of the colliding object keeps on changing over time. © 2013 IEEE.",
doi = "10.1109/IVS.2013.6629639",
isbn = "9781467327558",
language = "eng",
}