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Hee Lee, G., Faundorfer, F. and Pollefeys, M. (2013) Motion Estimation for Self-Driving Cars with a Generalized Camera. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, 23-28 June 2013, 2746-2753.
https://doi.org/10.1109/cvpr.2013.354

has been cited by the following article:

• TITLE: A Driving Strategy Model of Self-Driving Cars

  AUTHORS: Haoge Liu, Zeyu Shen, Wei Shang

  KEYWORDS: Self-Driving Cars, Driving Strategy, Cellular Automaton, Analog Simulation, Traffic Jam

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.5, March 23, 2017

  ABSTRACT: The self-driving cars are highly developed and about to meet the market, but the driving strategies and corresponding behaviors with others still need to be tested. In this paper, based on its characteristics and behaviors of manual-driving vehicles, we propose the driving strategies of manual-driving cars as well as self-driving cars. And we use the cellular automaton to simulate the traffic reality under different conditions, and to evaluate the efficiency of a road when self-driving cars are put into use. This research can be a reference by traffic planning and vehicles performance test, and further research can be designed in a model which can calculate the efficiency of a road when the percentage of self-driving cars are different.