Speed Limit Warning Logic for Ramps and Auxiliary Roads
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Solution Overview
Problem
Intelligent vehicles often incorrectly select speed limits in complex scenarios such as ramps or urban main and auxiliary roads, leading to reduced accuracy in speed limit recognition and potential safety threats.
Innovation Solution
The intelligent driving device obtains information about speed limit signs, including their position and features, and determines whether to alert users based on road information, using sensors like cameras and navigation data to differentiate between main roads, ramps, and auxiliary roads, ensuring accurate speed limit recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the traffic sign recognition system uses a camera to recognize speed limit signs, then the system can alert drivers to speed limit changes, but in complex scenarios such as ramps or urban main and auxiliary roads, the system incorrectly selects speed limits that do not belong to the current lane, reducing recognition accuracy
Solution Approach 1:
The patent introduces road type classification as an intermediary step between speed limit sign detection and speed limit selection. The system first classifies the current road type (main road, auxiliary road, or ramp) using navigation positioning information, then uses this classification to filter and select the appropriate speed limit sign. This intermediary classification mechanism resolves the contradiction by adding a simple yet effective decision layer that improves accuracy without requiring complex multi-camera setups or sophisticated algorithms.
2Measurement precision
If the system recognizes all speed limit signs in the environment, then more speed limit information is available, but the system cannot distinguish which speed limit applies to the current lane, leading to mis-selection
Solution Approach 1:
The patent applies preliminary action by obtaining navigation positioning information and classifying the road type before selecting the speed limit sign. The system proactively determines whether the vehicle is on a main road, auxiliary road, or ramp in advance, then uses this pre-established road context to correctly associate the detected speed limit sign with the current lane. This preliminary classification prevents information loss by ensuring the system only considers relevant speed limit signs for the current road type.
3Productivity
If the system alerts users to all detected speed limit changes, then users receive comprehensive speed limit information, but users may receive incorrect alerts in complex scenarios, reducing trust in the system
Solution Approach 1:
The patent implements feedback by using the classified road type information to verify and filter speed limit alerts before presenting them to the user. The system continuously monitors the relationship between the current road type classification and detected speed limit signs, only generating alerts when the speed limit is confirmed to be applicable to the current lane. This feedback mechanism ensures high alert accuracy while maintaining comprehensive speed limit information delivery.
Data Source
AI summary
A method includes: obtaining, with a sensor of an intelligent driving device, information about a speed limit sign, where the information about the speed limit sign indicates that the speed limit sign is a ramp speed limit sign or an auxiliary road speed limit sign. The method includes determining, based on road information of a first lane on which the intelligent driving device is located and the information about the speed limit sign, whether to alert a user to a speed limit value corresponding to the speed limit sign. The road information of the first lane indicates that the first lane is a main road, a ramp, or an auxiliary road. The method alerts the user to the speed limit value corresponding to the speed limit sign.