CB Radio Speech Parsing for Autonomous Vehicle Event-Aware Routing
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Solution Overview
Problem
Autonomous vehicles do not effectively utilize information shared by legacy vehicles, such as those using citizens band (CB) radios, which can provide relevant traffic and event information not available through Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2i) systems.
Innovation Solution
A data processing system processes CB radio speech data to determine locations and events, predicting vehicle paths and providing instructions to autonomous vehicles to adjust their operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If autonomous vehicles use only modern V2V or V2I systems for information sharing, then the system complexity is reduced and automation is improved, but the loss of information increases because legacy communication systems like CB radios are not incorporated
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between legacy CB radio communications and autonomous vehicle information systems. This intermediary captures, processes, and translates CB radio transmissions into usable data for autonomous vehicles, allowing integration of legacy information without requiring direct complex connections between autonomous vehicles and legacy systems.
Solution Approach 2:
The system incorporates multiple information sharing protocols (V2V, V2I, and CB radio) into a single universal platform that can process and integrate data from diverse sources. This multi-functional approach allows the autonomous vehicle to receive information from both modern and legacy systems through a unified interface, reducing information loss while managing complexity centrally.
2Adaptability or versatility
If autonomous vehicles incorporate multiple information protocols including CB radio, then the adaptability is improved, but the device complexity increases due to multiple processing requirements
Solution Approach 1:
The patent divides the information processing system into separate modular components, each dedicated to handling specific protocols (V2V, V2I, CB radio). This segmentation allows each module to be optimized independently for its specific protocol while presenting a unified interface to the autonomous vehicle's control system, thereby improving adaptability without proportionally increasing overall complexity.
3Loss of information
If autonomous vehicles rely solely on automated systems, then the extent of automation is improved, but the loss of information increases because human-operated vehicle communications are not effectively utilized
Solution Approach 1:
The patent applies natural language processing and speech recognition technology to automatically interpret and process human speech from CB radio transmissions. This substitution of automated language processing for manual human interpretation allows the system to capture and utilize human operator information while maintaining high levels of automation, converting unstructured human communication into structured data without requiring human intervention in the processing chain.
Data Source
AI summary
A system can receive audio data indicating speech from a citizens band (CB) radio channel. The system can determine a location corresponding to first information in the speech. The system can determine an event at the location based on the first information. The system can predict one or more autonomous vehicles that have a path including the location. The system can transmit second information containing the event and the location to the one or more autonomous vehicles. The second information can cause the one or more autonomous vehicles to adjust operation according to the event and the location.