US20260244204
2026-08-20
Physics
G05D1/2245
The patent application discusses a system for remotely controlling vehicles, particularly autonomous ones, using virtual reality (VR) technology. This system allows for the transfer of at least partial control to a remote operator, who can guide the vehicle through complex or unforeseen scenarios where autonomous systems may struggle. The remote operator receives sensor data from the vehicle, which is encoded and displayed on a VR headset, creating an immersive experience that aids in decision-making.
As autonomous vehicles become more common, they encounter situations that their onboard systems may not handle effectively, such as navigating around road debris or accidents. Traditional methods involve passing control to a human passenger, which is not feasible in fully autonomous level 5 vehicles lacking manual controls. Conventional remote control systems use 2D displays, which can limit the operator's perception and control precision, leading to less safe navigation.
The proposed system enhances remote control by employing VR to create a more immersive and intuitive environment for the operator. This setup allows for better spatial awareness and more natural control inputs, akin to those in a real vehicle. The system transmits sensor data from the vehicle to the remote operator, who can then use VR to navigate the vehicle through challenging situations, thereby maintaining safety and efficiency.
By using VR, the system improves the operator's ability to control the vehicle safely and effectively, even in complex environments. The immersive experience allows for better understanding of the vehicle's surroundings, reducing the likelihood of accidents or disruptions. This approach also minimizes the impact on travel schedules and prevents unsafe stops or shutdowns on roadways, enhancing overall safety.
The system is applicable not only to autonomous vehicles but also to non-autonomous vehicles, robots, and unmanned aerial vehicles. Unlike traditional 2D systems, the VR-based approach offers a more comprehensive view of the vehicle's state and environment, facilitating smoother and more natural control. This method addresses the limitations of conventional remote control systems, providing a more effective solution for navigating difficult scenarios.