Research on the Development Trend of Brain Controlled Cars

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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Filing Info

  • Accession Number: 01712762
  • Record Type: Publication
  • Source Agency: SAE International
  • Report/Paper Numbers: 2018-01-1587
  • Files: TRIS, SAE
  • Created Date: Oct 8 2018 1:17PM