Probabilistic Logic Markov Decision Processes for Modeling Driving Behaviors in Self-driving Cars

Author:

Avilés HéctorORCID,Negrete MarcoORCID,Machucho RubénORCID,Rivera KarellyORCID,Trejo DavidORCID,Vargas HéctorORCID

Publisher

Springer International Publishing

Reference14 articles.

1. Silva, O., Cordera, R., González-González, E., Nogués, S.: Environmental impacts of autonomous vehicles: a review of the scientific literature. Sci. Total Environ. 830, 154615 (2022)

2. Howard, D., Dai, D.: Public perceptions of self-driving cars: the case of Berkeley, California. In: Transportation Research Board 93rd Annual Meeting, vol. 14, pp. 1–16 (2014)

3. Xu, W., Wei, J., Dolan, J.M., Zhao, H., Zha, H.: A real-time motion planner with trajectory optimization for autonomous vehicles. In: 2012 IEEE International Conference on Robotics and Automation, pp. 2061–2067. IEEE (2012)

4. Bueno, T.P., Mauá, D.D., De Barros, L.N., Cozman, F.G.: Markov decision processes specified by probabilistic logic programming: representation and solution. In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), pp. 337–342. IEEE (2016)

5. Fierens, D., et al.: Inference and learning in probabilistic logic programs using weighted boolean formulas. Theory Pract. Logic Program. 15(3), 358–401 (2015)

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