Vehicle Risk Area Mapping With Vertex-Based Data Transmission
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Solution Overview
Problem
Existing systems face challenges in efficiently managing and communicating risk areas that are not visually recognizable to vehicles, leading to potential safety hazards and inefficiencies in traffic management.
Innovation Solution
A system where a vehicle identifies a risk area using sensors and transmits coordinate information of key points to a server, which stores and communicates only essential vertexes to other vehicles, reducing storage and communication load, and issues warnings when terminals are detected within the risk area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the server stores and transmits complete coordinate information of all risk area boundaries to all vehicles, then the accuracy of risk area management is improved, but the communication load and storage requirements increase significantly
Solution Approach 1:
The patent extracts only the essential vertex coordinates that define the risk area boundaries, rather than transmitting complete boundary information. The server identifies and transmits only the key vertex points that are necessary to define the risk area geometry, reducing communication data volume while maintaining sufficient accuracy for safety applications.
Solution Approach 2:
The risk area coordinate information is segmented into discrete vertex points that can be independently transmitted and processed. Instead of transmitting continuous boundary data, the system segments the risk area definition into key coordinate points that vehicles can use to reconstruct the risk area boundaries locally.
2Reliability
If the system transmits detailed risk area information to all vehicles, then the safety monitoring coverage is improved, but the communication bandwidth consumption increases
Solution Approach 1:
The system extracts only the essential vertex coordinate information needed for safety monitoring, rather than transmitting complete risk area datasets. This extraction approach maintains comprehensive safety coverage by providing vehicles with the key geometric definitions needed to identify risk areas, while significantly reducing communication bandwidth consumption.
3Measurement precision
If vehicles receive complete risk area data from the server, then the accuracy of risk identification is improved, but the processing load on vehicle systems increases
Solution Approach 1:
The patent applies extraction by providing vehicles with only the essential vertex coordinate data needed for risk identification, rather than complete risk area datasets. Vehicles can reconstruct risk area boundaries from these key points, achieving accurate risk identification while minimizing processing load on vehicle systems.
Data Source
AI summary
An information processing apparatus includes: a risk area identification unit configured to identify a risk area outside a moving object; and a transmission control unit configured to perform control for transmitting risk area information representing the risk area identified by the risk area identification unit to a server configured to retain information related to a risk area, in which the risk area identification unit is configured to identify an area defined by a plurality of points as the risk area, and the transmission control unit is configured to perform control for transmitting coordinate information of some of the plurality of points to the server as the risk area information.