Multi-vehicle Sensor Sharing via Central Server Digital Maps
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Solution Overview
Problem
Current vehicle sensor systems rely solely on internal data, limiting the effectiveness of applications like driver warnings and automated driving, as they do not leverage additional sensor information from surrounding vehicles or central servers.
Innovation Solution
A method and system for a vehicle to request, receive, and process sensor data from other vehicles via vehicle-to-vehicle (V2V) and vehicle-to-network (V2N) communication, utilizing a central server to generate and provide digital maps with sensor data layers, enhancing the accuracy and scope of sensor-based applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle sensor systems rely solely on internal data, then system complexity is reduced, but sensor-based application effectiveness is limited
Solution Approach 1:
The patent combines sensor data from multiple vehicles and central servers with internal vehicle sensor data to create a comprehensive data pool. This merging of internal and external sensor information enhances the effectiveness of sensor-based applications while maintaining system manageability through standardized data integration protocols.
Solution Approach 2:
The system creates a universal sensor data sharing platform that can serve multiple applications including driver warnings, collision avoidance, and automated driving. The same infrastructure supports various sensor types (camera, radar, lidar) and multiple vehicles simultaneously, achieving multi-functionality without proportionally increasing complexity.
2Measurement precision
If sensor data is shared from multiple vehicles and servers, then application accuracy is enhanced, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing system into distinct components: vehicles generate and share sensor data, central servers aggregate and process the data, and individual vehicles receive processed information. This segmentation allows each component to handle specific tasks, reducing overall system complexity while maintaining high accuracy through coordinated multi-source data processing.
Solution Approach 2:
The central server acts as an intermediary between multiple vehicles and the data processing system. It receives sensor data from various vehicles, processes and validates the information, then distributes processed data back to vehicles. This intermediary role simplifies the complexity by centralizing processing tasks and providing a standardized interface for data exchange.
3Reliability
If external sensor information is integrated, then driver warnings and automated driving reliability improve, but communication infrastructure requirements increase
Solution Approach 1:
The communication infrastructure is designed to handle multiple functions: direct vehicle-to-vehicle data exchange, vehicle-to-server communication, and server-to-vehicle distribution. This universal communication platform supports various sensor types and applications simultaneously, reducing the need for separate specialized communication channels and infrastructure.
Data Source
AI summary
A method of a vehicle obtaining sensor data originating at one or more of other vehicles includes receiving input from an operator or system within the vehicle, and generating a request for the sensor data based on the input. The request specifies one or more parameters and the one or more parameters include a location at which the sensor data is obtained. The method also includes sending the request for the sensor data, receiving the sensor data, and processing the sensor data. The processing includes providing the sensor data to the operator or the system within the vehicle based on the input. A central server includes an interface to receive sensor data and parameters from one or more vehicles according to vehicle-to-network (V2N) communication. A processor generates a digital map from the sensor data. The digital map includes a layer for each type of the sensor data.


