Camera-Based Speed Limit Control for Cruise Driving Compliance
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Solution Overview
Problem
Existing vehicle assistance systems fail to effectively adjust vehicle speed in response to speed limit signs and enforcement zones, leading to potential overspeeding and increased risk of accidents in congested areas.
Innovation Solution
A driver assistance apparatus equipped with a camera and controller that processes image data to identify speed limits and enforcement zones, providing information to the driver and adjusting the vehicle's speed to comply with posted limits, thereby preventing overspeeding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the cruise control system controls the vehicle to drive at a speed set by the driver, then the driving convenience is improved, but the vehicle may exceed the speed limit causing overspeeding
Solution Approach 1:
The system continuously captures images of road signs using a camera, processes them to identify speed limit information, and uses this feedback to dynamically adjust the cruise control set speed. The processor compares detected speed limits with the current cruise control speed and modifies the control commands accordingly, creating a closed-loop system that ensures speed limit compliance while maintaining driving convenience.
Solution Approach 2:
The system performs preliminary detection and recognition of speed limit signs before the vehicle reaches the corresponding road section. By identifying speed limits in advance through image processing of captured road signs, the system can pre-adjust the cruise control speed to comply with upcoming restrictions, preventing overspeeding before it occurs.
2Reliability
If the vehicle speed is automatically adjusted based on detected speed limits, then speed limit compliance is improved, but the system complexity increases
Solution Approach 1:
The system uses a single camera unit that serves multiple functions: capturing road scenes for speed limit detection, identifying traffic signs, and providing visual information for processing. This multi-functional approach avoids adding separate dedicated sensors for each function, thereby reducing overall system complexity while achieving reliable speed limit compliance through image-based recognition.
Solution Approach 2:
The system processes and interprets speed limit information directly from captured images using onboard image processing algorithms. Rather than relying on external databases or manual input, the system autonomously extracts speed limit values from visual data, self-adjusts cruise control parameters, and makes real-time speed adjustments without requiring complex external infrastructure or manual intervention.
Data Source
AI summary
An apparatus for assisting driving of a host vehicle includes: a camera mounted on the host vehicle and having a field of view outside of the host vehicle, the camera configured to acquire image data; and a controller configured to: process the image data, identify a speed limit of a road on which the host vehicle is driving and whether there is a speed enforcement for the host vehicle based on the image data; and provide information about the speed limit of the road to a driver of the host vehicle based on the speed limit of the road and whether there is the speed enforcement for the host vehicle. Thereby, the vehicle can be prevented from driving in excess of the speed limit.