Posted Speed Limit Conversion for Vehicle Category Mismatch
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to accurately acquire and apply traffic rules, such as speed limits, to vehicles based on their specific categories, as speed limit signs often do not account for all vehicle types, leading to incomplete or incorrect information.
Innovation Solution
An information processing system and speed limit acquiring apparatus that utilize an in-vehicle camera to recognize speed limit signs and a conversion table to determine the applicable speed limit for a vehicle by matching the vehicle category with the posted speed limit, ensuring accurate information is provided even when the vehicle category differs from the sign's specified category.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a speed limit sign displays a posted speed limit for a specific vehicle category, then the speed limit information is clear and unambiguous for that category, but the information is not applicable to other vehicle categories
Solution Approach 1:
The patent introduces a conversion table as an intermediary data structure that maps posted speed limits to applicable vehicle categories. The acquisition apparatus uses this conversion table to translate the posted speed limit (intended for one vehicle category) into the appropriate speed limit for the actual vehicle category, thereby resolving the contradiction between clear sign information and broad applicability
Solution Approach 2:
The system changes the parameter of vehicle category from a fixed match (sign category must exactly match vehicle category) to a convertible parameter (posted speed limit can be converted to apply to different vehicle categories through the conversion table). This allows the same posted speed limit to be appropriately applied across multiple vehicle categories based on the conversion relationships stored in the table
2Reliability
If traffic signs are installed on roads with specific vehicle categories in mind, then the signs provide targeted regulation, but vehicles of other categories cannot determine their applicable speed limits
Solution Approach 1:
The conversion table is prepared in advance with predefined mapping relationships between different vehicle categories and their corresponding speed limit conversions. When the acquisition apparatus needs to determine the applicable speed limit, it simply queries this pre-prepared conversion table, avoiding the need for complex real-time calculations or assumptions about unmatched vehicle categories
Solution Approach 2:
The conversion table serves as an intermediary information source that bridges the gap between posted speed limits (for specific categories) and actual vehicle categories. It prevents loss of information by providing conversion rules that enable any vehicle category to determine its applicable speed limit even when the posted sign was intended for a different category
Data Source
AI summary
An information processing system is applied to a vehicle. The information processing system includes: one or more processors configured to acquire information on a posted traffic rule that is a traffic rule indicated by a traffic sign installed on a road where the vehicle travels, acquire information on a first traffic rule applied to the vehicle, based on the posted traffic rule and a first vehicle category that is a vehicle category of the vehicle, and notify a user of the vehicle of the first traffic rule or control travelling of the vehicle based on the first traffic rule.