Roadside Guidance Data Exchange for Low-Connectivity AV Navigation
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Solution Overview
Problem
Autonomous vehicles face navigation challenges in areas with low network connectivity, such as rural regions, where they cannot communicate with remote navigation services or other vehicles, relying instead on outdated preloaded map data.
Innovation Solution
Deployment of guidance systems along roads that store and share navigation information with passing vehicles via wireless connections, allowing vehicles to update and exchange data without requiring network connectivity, using devices with compute circuitry, communication protocols like Bluetooth, and data storage to provide real-time road conditions and alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles rely on remote navigation services and V2V communications for safe navigation, then navigation accuracy and safety are improved, but network connectivity requirement increases
Solution Approach 1:
The patent introduces roadside guidance systems as intermediary devices that store and provide navigation information to autonomous vehicles in areas with low network connectivity. These guidance systems act as local mediators between the vehicle and remote navigation services, enabling vehicles to obtain updated map data and navigation information without requiring continuous network connection.
Solution Approach 2:
The guidance systems pre-store navigation information, map data, and road condition updates in local databases before vehicles arrive. This preliminary action allows vehicles to receive up-to-date navigation data without needing real-time network connectivity during traversal through rural or remote areas.
2Adaptability or versatility
If autonomous vehicles use preloaded map data for navigation in low connectivity areas, then network connectivity requirement is reduced, but navigation data freshness deteriorates
Solution Approach 1:
The guidance systems serve as local intermediaries that maintain updated navigation databases and provide this information to vehicles. This resolves the contradiction by allowing vehicles to operate independently of remote networks while still accessing fresh navigation data through local guidance system interactions.
Solution Approach 2:
The guidance systems autonomously maintain and update their local navigation databases using periodically received updates from remote services when connectivity is available. This self-service capability ensures data freshness without requiring continuous network connection, allowing vehicles to access current information locally.
3Loss of information
If guidance systems are deployed along roads to provide local navigation data, then navigation data freshness is improved, but system complexity increases
Solution Approach 1:
The guidance systems are implemented as relatively simple, distributed devices rather than complex centralized infrastructure. Each guidance system is a standalone unit with local storage and communication capabilities, making the overall system more deployable and less complex while maintaining data freshness through local caching.
4Reliability
If autonomous vehicles communicate with multiple vehicles and guidance systems, then navigation reliability is improved, but communication requirements increase
Solution Approach 1:
The communication system is segmented into different layers: V2V communication for immediate safety information exchange between vehicles, and V2I (vehicle-to-infrastructure) communication with guidance systems for navigation data. This segmentation allows the vehicle to use simpler communication protocols for different purposes, reducing overall communication complexity while maintaining reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables autonomous vehicles to navigate safely and efficiently in low connectivity areas by providing up-to-date navigation information, reducing reliance on preloaded data and enhancing safety through real-time updates from other vehicles and guidance systems.
Implementation Method 1
transmit, via the wireless connection, the stored data to the vehicle
Data Source
AI summary
Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.