Dynamic Map Construction via Selective Sensor Data Transmission
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Solution Overview
Problem
Existing dynamic-map constructing methods face network bandwidth shortages due to inefficient information collection and transmission, particularly when multiple vehicles request and transmit overlapping dynamic information, leading to increased communication between roadside devices and vehicles.
Innovation Solution
A method and system where a roadside device and a moving terminal collaborate with a server to transmit only necessary dynamic information, identifying and transmitting data for unobservable areas and overlapping regions, thereby reducing redundant data transmission and conserving network bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If all vehicles transmit their sensor information to the server, then the dynamic map coverage is improved, but the network bandwidth is insufficient
Solution Approach 1:
The patent extracts and transmits only the essential dynamic information (object position, type, and speed) from the complete sensor data, rather than transmitting all sensor information. This selective extraction reduces the data volume significantly while maintaining the effectiveness of the dynamic map system.
Solution Approach 2:
The system implements partial action by having vehicles transmit information only when necessary - specifically when dynamic objects are detected in their sensing range. Vehicles do not continuously transmit all sensor data, but rather transmit selectively based on detection events, reducing overall network traffic.
2Loss of information
If multiple vehicles request and transmit overlapping dynamic information, then the information completeness is improved, but the communication efficiency deteriorates
Solution Approach 1:
The server merges dynamic information from multiple vehicles, consolidating overlapping data about the same objects. When multiple vehicles detect the same object, the server integrates this information rather than treating it as separate transmissions, reducing redundancy while maintaining information completeness.
Solution Approach 2:
The system applies local quality by having each vehicle transmit information specific to its local sensing range and detected objects, rather than transmitting universal or duplicate information. The server then integrates these localized information contributions to build the complete dynamic map.
Data Source
AI summary
A roadside device transmits first detection data obtained by a first sensor to a server. The server extracts an unobservable area that is a blind spot of the first sensor, based on the first detection data, and transmits unobservable-area information indicating the unobservable area to a moving terminal. The moving terminal extracts, based on second detection data obtained by a second sensor, second dynamic information indicating an object that exists in a sensing range of the second sensor, and determines whether or not an overlapping area where the unobservable area indicated by the unobservable-area information and the sensing range of the second sensor overlap each other exists. Upon determining that the overlapping area exists, the moving terminal transmits, to the server, third dynamic information that is included in the second dynamic information and that indicates an object that exists in the overlapping area.