Driving Assistance Speed Limit Control Using Road Curvature
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Solution Overview
Problem
Current driver assistance systems face errors in recognizing traffic signs, particularly at road junctions where road properties change, leading to incorrect speed limit information being provided to drivers, which can cause traffic accidents.
Innovation Solution
A driver assistance system that uses a front sensor, such as a camera, to obtain image data, detect speed limits on signs, calculate the road's curvature, and determine the vehicle's limit speed based on this data, then adjusts the vehicle's speed to match the appropriate speed limit by displaying the correct speed on the dashboard and controlling the vehicle's speed if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses a front sensor to detect traffic signs, then the driver receives speed limit information, but the recognition accuracy deteriorates at road junctions where road properties change
Solution Approach 1:
The system performs preliminary detection of road curvature using the front sensor before the vehicle reaches the road section. By calculating the curvature radius in advance based on the detected road geometry, the system determines the appropriate speed limit before the vehicle enters the curved section, ensuring accurate speed limit information is provided even at road junctions where properties change.
Solution Approach 2:
The system introduces road curvature radius as an intermediary parameter between traffic sign detection and speed limit determination. Instead of directly using detected traffic signs to set speed limits, the system calculates the curvature radius of the road section and uses this geometric parameter to determine the appropriate speed limit, thereby improving accuracy at road junctions where direct sign detection may fail.
2Measurement precision
If the system calculates limit speed based on road curvature, then the speed control becomes more accurate, but the system complexity increases
Solution Approach 1:
The system replaces complex mechanical or manual speed control methods with an electronic control system that automatically calculates limit speed based on detected road curvature. The controller uses image processing algorithms to detect road geometry and automatically computes the curvature radius, then determines the appropriate speed limit and controls the vehicle speed accordingly, simplifying the overall system while improving precision.
Solution Approach 2:
The system performs self-service by automatically detecting road curvature, calculating the curvature radius, determining the appropriate speed limit, and controlling the vehicle speed without requiring external intervention. The front sensor continuously monitors road geometry and the controller autonomously adjusts the speed limit based on the calculated curvature, making the system self-sufficient and reducing operational complexity.
Data Source
AI summary
An aspect of the disclosure provides an apparatus and a method for assisting driving capable of calculating a speed limit of a vehicle using curvature information of a road and accurately recognizing a traffic sign through this. The apparatus for assisting driving of a host vehicle includes a front sensor mounted to the host vehicle and having a field of view in front of the host vehicle, the front sensor configured to obtain front image data; and a controller including a processor configured to process the front image data. The controller may be configured to detect a speed displayed on a sign based on the front image data, to calculate a limit speed of the host vehicle on a driving road based on the front image data, and to display a sign speed smaller than the limit speed on a display of the host vehicle.