Challenges and countermeasures of interaction in autonomous vehicles-Reference-Cited by-同舟云学术

Challenges and countermeasures of interaction in autonomous vehicles

Published:2019-02-22 Issue:5 Volume:62 Page:
ISSN:1674-733X
Container-title:Science China Information Sciences
language:en
Short-container-title:Sci. China Inf. Sci.

Author:

Li Deyi,Liu Meng,Zhao Fei,Liu Yu

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s11432-018-9766-3/fulltext.html

Reference6 articles.

1. Burns L D. Sustainable mobility: a vision of our transport future. Nature, 2013, 497: 181–182

2. Eskandarian A. Handbook of Intelligent Vehicles. London: Springer, 2012

3. Basu C, Singhal M. Trust dynamics in human autonomous vehicle interaction: a review of trust models. In: Proceedings of AAAI Spring Symposia, Palo Alto, 2016. 85–91

4. Maurer M, Gerdes J C, Lenz B, et al. Autonomous Driving. Berlin: Springer, 2016

5. Li D Y. Interactive cognition (in Chinese). Robot Ind, 2016, 5: 12–22

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