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Research on the Development Trend of Brain Controlled Cars
Technical Paper
2018-01-1587
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper studies the development trend of the brain controlled cars. A brain controlled car is a new application of the brain-computer interface (BCI) to the on-road motor vehicles. As a new frontier science, the relevant studies are exploratory and still at an early stage. The prospect of the brain controlled cars is also unclear. In this paper, we summarizes the research status of the brain controlled cars based on both the academic articles and publicly released demo cars. The research history, the achievable control functions, the vehicle types that implemented on, the testing scenarios and the technology roadmaps are elaborated. According to the development traces of both the intelligent connected vehicle (ICV) and the artificial intelligence (AI) technologies, we predicted the development trend of the brain controlled cars. This paper is from a novel angel that considering BCI technology as one of the driver assistance methods to make the driving experience more intelligent, more safe and reliable, more comfortable, and more compliant to the driver’s intention. The main finding of this paper is that human-computer collaborative driving by the hybrid-augmented intelligence is the irresistible trend of the brain controlled cars. The hybrid-augmented intelligence will mainly act on the environment perception module, the decision-making & planning module and the control & execution module of an autonomous driving car to achieve the full autonomous driving in the open traffic and maximally ensure the driving safety. Additionally, applying BCI technology to the human-computer interface (HMI) in a car makes the driving experiences more “people oriented”. This paper plays a positive role in promoting the applications of BCI technology to the on-road motor vehicles, accelerating the development of ICV, as well as improving our future driving experiences.
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Citation
Bie, W., Li, K., Zhang, R., Huang, Y. et al., "Research on the Development Trend of Brain Controlled Cars," SAE Technical Paper 2018-01-1587, 2018, https://doi.org/10.4271/2018-01-1587.Data Sets - Support Documents
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References
- Lotte , F. 2008
- Wang , H. , Li , T. , and Huang , Z. Remote Control of an Electrical Car with SSVEP-Based BCI 2010 IEEE International Conference on Information Theory and Information Security 837 840 2010 10.1109/ICITIS.2010.5689710
- Chang , H. , Deng , H. , Lee , P. , Wu , C. et al. Real-Time Control of an SSVEP-Actuated Remote-Controlled Car Proceeding of SICE Annual Conference 2010 2010 1884 1887
- https://spectrum.ieee.org/automaton/transportation/human-factors/braindriver-a-mind-controlled-car
- Hood , D. , Joseph , D. , Rakotonirainy , A. , Sridharan , S. et al. Use of Brain Computer Interface to Drive: Preliminary Results Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications 2012 103 106 10.1145/2390256.2390272
- http://tech.sina.com.cn/it/2015-12-08/doc-ifxmhqac0185036.shtml
- Li , K. , Dai , Y. , Li , S. , and Bian , M. State-of-the-Art and Technical Trends of Intelligent and Connected Vehicles Automotive Safety and Energy 8 1 1 14 2017
- Göhring , D. , Latotzky , D. , Wang , M. , and Rojas , R. Semi-Autonomous Car Control Using Brain Computer Interfaces Intelligent Autonomous Systems 12 393 408 2013
- Bi , L. , Fan , X. , Luo , N. , Jie , K. et al. A Head-Up Display-Based P300 Brain-Computer Interface for Destination Selection IEEE Transactions on Intelligent Transportation Systems 14 4 1996 2001 2013 10.1109/TITS.2013.2266135
- Bi , L. , Fan , X. , Jie , K. , Teng , T. et al. Using a Head-Up Display-Based Steady-State Visually Evoked Potential Brain-Computer Interface to Control a Simulated Vehicle IEEE Transactions on Intelligent Transportation Systems 15 3 959 966 2014 10.1109/TITS.2013.2291402
- Fan , X. , Bi , L. , Teng , T. , Ding , H. et al. A Brain-Computer Interface-Based Vehicle Destination Selection System Using P300 and SSVEP Signals IEEE Transactions on Intelligent Transportation Systems 16 1 274 283 2015
- http://cardesignnews.com/articles/cdn-live/ces/2018/01/ces-2018-thoughts-on-nissan-s-brain-interface
- China-SAE Technology Roadmap for Energy Saving and New Energy Vehicles Beijing Mechanical Industry Press 2016
- SAE International Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems Surface Vehicle Information Report J 3016 1 12 2014