Review of the state-of-the-art of brain-controlled vehicles

A Hekmatmanesh, PHJ Nardelli, H Handroos - IEEE Access, 2021 - ieeexplore.ieee.org
Brain-Controlled Vehicle (BCV) is an already established technology usually designed for
disabled patients. This review focuses on the most relevant topics on brain-controlled …

[PDF][PDF] 智能汽车人机协同控制的研究现状与展望

胡云峰, 曲婷, 刘俊, 施竹清, 朱冰, 曹东璞, 陈虹 - 自动化学报, 2019 - aas.net.cn
摘要随着人工智能, 互联网技术, 通信技术, 计算机技术的快速发展, 以电动化,
智能化及网联化为基础的智能汽车成为汽车行业发展的一大趋势. 按照汽车智能化 …

Model predictive-based shared control for brain-controlled driving

Y Lu, L Bi, H Li - IEEE Transactions on Intelligent Transportation …, 2019 - ieeexplore.ieee.org
Using brain signals rather than limbs to drive a vehicle can help persons with disabilities to
extend their movement range and, thus, to improve their self-independence. However, the …

Review of the State-of-the-art on Bio-signal-based Brain-controlled Vehicles

A Hekmatmanesh, PHJ Nardelli… - arXiv preprint arXiv …, 2020 - arxiv.org
Brain-controlled vehicle (BCV) is an already established technology usually designed for
disabled patients. This review focuses on the most relevant topics on the brain controlling …

Intention-prioritized fuzzy fusion control for BCI-based autonomous vehicles

N Dong, Z Wu, W Zhang, G Chen, Z Gao - Biomedical Signal Processing …, 2024 - Elsevier
A brain-controlled vehicle (BCV) is a vehicle that uses the Brain–Computer interface (BCI) to
analyze the driver's electroencephalogram (EEG) to obtain human control commands, which …

Queuing network modeling of driver EEG signals-based steering control

L Bi, Y Lu, X Fan, J Lian, Y Liu - IEEE Transactions on Neural …, 2016 - ieeexplore.ieee.org
Directly using brain signals rather than limbs to steer a vehicle may not only help disabled
people to control an assistive vehicle, but also provide a complementary means of control for …

Imaginary control of a mobile vehicle using deep learning algorithm: A brain computer interface study

A Hekmatmanesh, HM Azni, H Wu, M Afsharchi… - IEEE …, 2021 - ieeexplore.ieee.org
Controlling a remote mobile vehicle using electroencephalograph (EEG) signals is still a
challenge specially achieving a high degree of accuracy and precision. In the present study …

Brain-controlled multi-robot at servo-control level based on nonlinear model predictive control

Z Yang, L Bi, W Chi, H Shi… - Complex System Modeling …, 2022 - ieeexplore.ieee.org
Using a brain-computer interface (BCI) rather than limbs to control multiple robots (ie, brain-
controlled multi-robots) can better assist people with disabilities in daily life than a brain …

An emergent design framework for accessible and inclusive future mobility

H Detjen, S Schneegass, S Geisler, A Kun… - Proceedings of the 14th …, 2022 - dl.acm.org
Future mobility will be highly automated, multimodal, and ubiquitous and thus have the
potential to address a broader range of users. Yet non-average users with special needs are …

Multiobjective control design for human–machine systems with safety performance constraints

XM Zhang, HN Wu - IEEE Transactions on Human-Machine …, 2021 - ieeexplore.ieee.org
This article studies the problem of multiobjective control design for a class of human–
machine systems (HMSs) with safety performance constraints containing state constraints …