Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning-Reference-Cited by-同舟云学术

Autonomous Vehicle for Obstacle Detection and Avoidance Using Reinforcement Learning

Published:2019-11-28 Issue: Volume: Page:55-66
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Arvind C. S.,Senthilnath J.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0035-0_5

Reference18 articles.

1. Pendleton, S.D., Andersen, H., Du, X., Shen, X., Meghjani, M., Eng, Y.H., Rus, D., Ang, M.H.: Perception, planning, control, and coordination for autonomous vehicles. Machines 5, 6 (2017)

2. Garcia, F., Martin, D., De La Escalera, A., Armingol, J.M.: Sensor fusion methodology for vehicle detection. IEEE Trans. Intell. Transp. Syst. Mag. 9, 123–133 (2017)

3. http://outlace.com/rlpart1.html

4. Qiao, J.-F., Hou, Z.-J., Ruan, X.-G.: Application of reinforcement learning based on neural network to dynamic obstacle avoidance. In: Proceedings of the 2008 IEEE International Conference on Information and Automation, pp. 784–788 (2008)

5. Babu, V.M., Krishna, U.V., Shahensha, S.K.: An autonomous path finding robot using Q-learning. In: IEEE International Conference on Intelligent Systems and Control (2016)

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