Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000439.pdf
Reference21 articles.
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2. Danescu R, Oniga F, Nedevschi S, 2011. Modeling and tracking the driving environment with a particle-based occupancy grid. IEEE Trans Intell Transp Syst, 12(4): 1331–1342. https://doi.org/10.1109/tits.2011.2158097
3. Elfes A, 1989. Using occupancy grids for mobile robot perception and navigation. Computer, 22(6):46–57. https://doi.org/10.1109/2.30720
4. Gao J, Murphey YL, Zhu HH, 2019. Personalized detection of lane changing behavior using multisensor data fusion. Computing, 101(4): 1837–1860. https://doi.org/10.1007/s00607-019-00712-9
5. Hui F, Mu KN, Zhao XM, 2018. Assistant driving decision method of vehicle lane change based on dynamic probability grid and Bayesian decision network. J Traff Transp Eng, 18(2):148–158. https://doi.org/10.19818/j.cnki.1671-1637.2018.02.016
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