Driving maneuver classification from time series data: a rule based machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03328-3.pdf
Reference52 articles.
1. Martinez C. M., Heucke M., Wang F. Y., Gao B., Cao D. (2017) Driving style recognition for intelligent vehicle control and advanced driver assistance: a survey. IEEE Trans Intell Transp Sys 19 (3):666–676
2. Paefgen J., Kehr F., Zhai Y., Michahelles F. (2012) Driving behavior analysis with smartphones: insights from a controlled field study. In: Proceedings of the 11th International Conference on mobile and ubiquitous multimedia, pp 1–8
3. Cervantes-Villanueva J, Carrillo-Zapata D, Terroso-Saenz F, Valdes-Vela M, Skarmeta A F (2016) Vehicle maneuver detection with accelerometer-based classification. Sensors 16(10):1618
4. Carvalho E, Ferreira BV, Ferreira J, De Souza C, Carvalho HV, Suhara Y, Pessin G (2017) Exploiting the use of recurrent neural networks for driver behavior profiling. In: IJCNN’17. IEEE, pp 3016–3021
5. Ferreira J, Carvalho E, Ferreira BV, de Souza C, Suhara Y, Pentland A, Pessin G (2017) Driver behavior profiling: An investigation with different smartphone sensors and machine learning. PLoS one 12(4):e0174959
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