US20250116523
2025-04-10
Physics
G01C21/30
Augmented Reality (AR) displays are utilized to present graphical information to users, particularly in vehicles. This information is sourced from dynamic detection of objects and features by a vehicle, as well as user-generated content. Additionally, crowdsourced AV map data is used to enhance these graphical representations. The AR view is projected onto mediums like vehicle windshields, aligning with the user's field of view to seamlessly integrate digital data with the physical environment.
The discussed techniques pertain to the use of AR for displaying road maps and related features to vehicle occupants. This approach leverages Road Experience Management (REM) technology, which uses crowdsourced data to deliver map features swiftly for autonomous vehicle deployment. Unlike static maps, the Roadbook Map provides a dynamic history of road usage, aiding autonomous vehicle decision-making without relying on third-party mapping utilities.
The described system includes various components like processors, image acquisition devices, position sensors, memories, map databases, user interfaces, and wireless transceivers. These elements work together to facilitate navigation and control in autonomous or semi-autonomous vehicles. The system can be integrated during vehicle manufacture or added as an aftermarket device, supporting different levels of vehicle automation.
Wireless transceivers in the system support multiple communication protocols such as Bluetooth, LTE, 5G, and IEEE 802.11 standards. These transceivers enable communication between the vehicle and remote computing devices or servers through various links like V2X protocols. This connectivity supports real-time data exchange essential for AR applications in vehicles.
The AR system can interact with remote computing systems such as cloud or edge computing networks to enhance its functionality. This integration allows for the processing and delivery of data necessary for AR displays in vehicles. The remote systems can consist of numerous servers and processors working together to provide robust computational support for AR applications.