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Published in:
An Overview of Machine Learning Read chapter Read first chapter

2017 | OriginalPaper | Chapter

12. Autonomous Driving

Authors : Michael Paluszek, Stephanie Thomas

Published in: MATLAB Machine Learning

Publisher: Apress

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Abstract

Consider a primary car that is driving along a highway at variable speeds. It carries a radar that measures azimuth, range, and range rate. Many cars pass the primary car, some of which change lanes from behind the car and cut in front. The multiple-hypothesis system tracks all cars around the primary car. At the start of the simulation there are no cars in the radar field of view. One car passes and cuts in front of the radar car. The other two just pass in their lanes. You want to accurately track all cars that your radar can see.

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previous chapter Adaptive Control
Literature
[1]
A. Amditis, G. Thomaidis, P. Maroudis, P. Lytrivis, and G. Karaseitanidis. Multiple hypothesis tracking implementation. www.​intechopen.​com, 2016.
[2]
S. S. Blackman. Multiple hypothesis tracking for multiple target tracking. Aerospace and Electronic Systems Magazine, IEEE, 19(1):5–18, Jan. 2004.CrossRef
[3]
S. S. Blackman and R. F. Popoli. Design and Analysis of Modern Tracking Systems. Artech House, 1999.MATH
[4]
S. S. Blackman, R. J. Dempster, M. T. Busch, and R. F. Popoli. Multiple hypothesis tracking for multiple target tracking. IEEE Transactions on Aerospace and Electronic Systems, 35(2):730–738, April 1999.CrossRef
[5]
D. B. Reid. An algorithm for tracking multiple targets. IEEE Transactions on Automatic Control, AC=24(6):843–854, December 1979.
[6]
L. D. Stone, C. A. Barlow, and T. L. Corwin. Bayesian Multiple Target Tracking. Artech House, 1999.MATH
[7]
Matthew G. Villella. Nonlinear Modeling and Control of Automobiles with Dynamic Wheel-Road Friction and Wheel Torque Inputs. PhD thesis, Georgia Institute of Technology, April 2004.
Metadata
Title
Autonomous Driving
Authors
Michael Paluszek
Stephanie Thomas
Copyright Year
2017
Publisher
Apress
Book
MATLAB Machine Learning

Print ISBN: 978-1-4842-2249-2

Electronic ISBN: 978-1-4842-2250-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-1-4842-2250-8_12

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