Predictive Navigation for Nearby Vehicle Maneuver Awareness
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Solution Overview
Problem
Existing navigation systems fail to predict the actions of surrounding vehicles accurately, relying on turn signals prone to user error and occlusion, and lack vehicle-to-vehicle communication solutions due to bandwidth and privacy concerns, hindering proactive driving decisions.
Innovation Solution
A navigation system that shares navigational data between vehicles using a navigation server, filtering and delivering predicted next actions of nearby vehicles to requesting clients, enabling visualization on user interfaces without requiring shared destinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If turn signals are used to indicate vehicle actions, then other drivers can see the intended maneuver, but the information may be occluded, missed, or unreliable due to user error or signal failure
Solution Approach 1:
The patent introduces a navigation server as an intermediary that collects navigation data from multiple vehicles and processes it to determine predicted actions. This mediator relieves the direct reliance on turn signals by providing processed information about vehicle intentions through a trusted third-party system that aggregates data from GPS, route information, and navigation commands.
Solution Approach 2:
The system determines predicted vehicle actions in advance by analyzing navigation data before the actual maneuver occurs. By processing route information and navigation commands, the system predicts upcoming actions such as lane changes, turns, or exits before the driver activates turn signals or executes the maneuver, providing earlier and more reliable information.
2Loss of information
If V2V communication is used to share navigational data between vehicles, then predictive information can be obtained, but high bandwidth requirements and privacy concerns arise
Solution Approach 1:
The navigation server acts as a centralized intermediary that collects, processes, and distributes navigational information. Instead of requiring direct peer-to-peer communication between vehicles, the server aggregates data from multiple sources and delivers processed predictions to the requesting vehicle, simplifying the communication architecture and reducing bandwidth requirements.
Solution Approach 2:
The system extracts only the essential navigational parameters needed for prediction (current location, route, navigation commands) from full vehicle data sets. By processing and filtering information on the server side, only relevant predicted action data is transmitted to vehicles, reducing communication overhead and protecting privacy by not sharing unnecessary personal information.
3Reliability
If sensor suites are used to identify and track nearby vehicles, then collision avoidance is improved, but information about predicted actions of other vehicles is still not provided
Solution Approach 1:
The patent combines sensor-based vehicle identification and tracking with navigation data processing. The system merges real-time sensor data about nearby vehicles with their navigation information from the server to determine predicted actions, creating a comprehensive system that provides both collision avoidance capabilities and predictive maneuver information.
Solution Approach 2:
The system uses sensor data to identify and track nearby vehicles, then queries the navigation server for their predicted actions based on navigation data. This feedback loop continuously updates the predicted actions of tracked vehicles, allowing the system to provide actionable intelligence about upcoming maneuvers while maintaining collision avoidance monitoring.
Data Source
AI summary
Systems and methods are described for enabling a first vehicle to receive navigational information about the next navigational steps for one or more nearby vehicles. The first vehicle is identified, and one or more nearby vehicles are determined. The next navigational step for each of the nearby vehicles is determined, and provided to the first vehicle. The first vehicle then presents an indication of the next navigational steps for each of the nearby vehicles.