Speed Limit Detection via Image Comparison and Centralized Database
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Solution Overview
Problem
Existing systems fail to accurately detect discrepancies between posted speed limits and stored speed limits in real-time, leading to potential safety issues and inefficiencies in managing speed limit data across a fleet of vehicles.
Innovation Solution
A system comprising a remote computing server and vehicle-mounted sensors and transceivers that capture and compare road-side image information with stored speed limits, allowing for real-time detection and modification of speed limits within a centralized database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized database of posted speed limits is maintained and compared with real-time road-side image information, then measurement precision of speed limit detection is improved, but device complexity increases due to the need for image sensors, transceivers, and database management systems
Solution Approach 1:
A centralized database serves as an intermediary between the image sensors on vehicles and the speed limit determination system. The database stores pre-collected speed limit information and receives updates from vehicles, mediating the complex data processing requirements while enabling accurate speed limit detection through structured data management and comparison protocols.
Solution Approach 2:
The system implements feedback loops where vehicles transmit detected speed limit discrepancies to the centralized database, which then updates the stored information and redistributes corrections to the fleet. This continuous feedback mechanism improves measurement precision over time while distributing the computational complexity across the network rather than concentrating it in a single complex device.
2Reliability
If real-time comparison of posted speed limits with stored data is performed across a fleet of vehicles, then reliability of speed limit information is improved, but loss of time increases due to data transmission and processing requirements
Solution Approach 1:
Speed limit information is pre-collected and stored in the centralized database before being distributed to vehicles. This preliminary action enables vehicles to have accurate speed limit data available locally, reducing the need for frequent real-time transmissions while maintaining high reliability through pre-validated information.
Solution Approach 2:
The system performs partial comparisons by focusing only on detecting discrepancies between posted and stored speed limits rather than continuously verifying all speed limit data. This selective approach maintains reliability by catching errors when they occur while minimizing the time and computational resources required for data transmission and processing.
3Measurement precision
If image sensors and user interfaces are installed in each vehicle to detect posted speed limits, then measurement precision is improved, but manufacturing precision requirements increase for sensor calibration and system integration
Solution Approach 1:
The system enables self-service through automated image capture and processing, where vehicles autonomously detect speed limit signs using image sensors and compare them with database information. This reduces the need for manual sensor calibration and integration precision, as the system self-corrects through automated discrepancy detection and feedback to the centralized database.
Data Source
AI summary
Systems and methods to determine posted speed limits for vehicles and modify a centralized database of posted speed limits may manage the centralized database, receive, from a fleet of vehicles, requests to modify speed limits associated with roads, and modify the centralized database in accordance with the received requests for modification. Individual vehicles may compare a posted speed limit for a particular road as identified based on road-side image information with a previously stored speed limit from the centralized database for the same road in order to detect a discrepancy and transmit a request for a modification.