We first proposed a hybrid BCI strategy for mind controlled vehicle, which involved simultaneous localization/mapping(SLAM) and steady state visual evoked ...
We designed a BCI system based on SLAM-SSVEP paradigm and carried out online experimental verification. The experimental results showed that all participants in ...
designed a SLAM-SSVEP system to enable users to control a vehicle equipped with lidar by using their minds [9] . Another method is motor imagery (MI), in which ...
designed a SLAM-SSVEP system to enable users to control a vehicle equipped with lidar by using their minds [9] . Another method is motor imagery (MI), in which ...
Brain-controlled 2D navigation robot based on a spatial gradient controller ... Mind controlled vehicle based on lidar SLAM navigation and SSVEP technology.
In this study, we propose a continuous shared control strategy combining continuous BCI and autonomous navigation for a mobile robot system.
Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller ... Mind Controlled Vehicle Based on Lidar SLAM Navigation and SSVEP Technology.
By simply focusing on a flashing LED, users can input commands, significantly reducing the cognitive burden compared to more complex input devices or mental ...
This research proposes a compressed sensing control paradigm and a human-machine closed-loop control algorithm for remote brain-controlled UAV.
In-Car Environment Control Using an SSVEP-Based Brain-Computer ...
pmc.ncbi.nlm.nih.gov › PMC10819861
In the present study, we implemented an in-car environment control system utilizing a brain-computer interface (BCI) based on steady-state visual evoked ...
Missing: Lidar SLAM