Roadside Apparatus Traffic Object Stereotype Information Transmission
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Solution Overview
Problem
Existing road-to-vehicle communication systems face challenges in efficiently transmitting large amounts of traffic information while minimizing data communication, as simply using images and synthetic sounds limits expressiveness and increases communication bandwidth.
Innovation Solution
A roadside apparatus with sensors and recognizers that detect and convert traffic situations into stereotype information, which is then transmitted and received by a vehicle-side apparatus for presentation, using a data storage unit, receiver, and presentation unit to display traffic information effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images and synthetic sounds are used to present traffic situations, then the expressiveness of information transmission is improved, but the amount of data communication increases
Solution Approach 1:
The patent extracts only the essential features of traffic objects (stereotype information) rather than transmitting complete image and sound data. The recognizer identifies key characteristics such as object type, position, and movement patterns, converting them into compact stereotype data that conveys the necessary information without the bulk of original media data.
Solution Approach 2:
The patent changes the representation parameters from raw image pixels and audio waveforms to abstracted stereotype information. This transformation reduces data volume while preserving the essential semantic meaning, allowing the system to maintain expressiveness through parameter abstraction rather than data volume.
2Loss of information
If various traffic situations with large amounts of information are presented to the driver, then the comprehensiveness of traffic situation presentation is improved, but the communication bandwidth requirement increases
Solution Approach 1:
The system extracts only the critical traffic situation parameters needed for driver awareness, such as object stereotypes, positions, and movements. By filtering out redundant sensory data and retaining only essential information, the system achieves comprehensive presentation within limited bandwidth constraints.
Solution Approach 2:
The patent segments traffic situation information into discrete stereotype categories (e.g., vehicle types, pedestrian actions, traffic conditions). This segmentation allows efficient encoding and transmission of multiple traffic elements using standardized, compact representations, reducing overall communication requirements while maintaining comprehensive coverage.
Data Source
AI summary
This system includes a roadside apparatus and a vehicle-side apparatus. The roadside apparatus includes a roadside sensor that detects a road situation, a recognizer that recognizes a traffic object from the road situation detected by the roadside sensor and converts a result of the recognition into stereotype information of the traffic object, and a transmitter that transmits and receives the stereotype information. The vehicle-side apparatus includes a data storage unit that stores data regarding a traffic object corresponding to the stereotype information, a receiver that receives the stereotype information transmitted by the roadside apparatus, and a presentation unit that presents the data stored in the data storage unit on the basis of the received stereotype information.