Vehicle Driving Assist Road Marking Estimation via Radar Edge Detection
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Solution Overview
Problem
Existing driving assist apparatuses for vehicles struggle to maintain accurate recognition of road markings and edges in adverse weather conditions or low light, leading to reduced image recognition accuracy and temporary failure of driving assist functions.
Innovation Solution
The apparatus incorporates a camera device and radar device to capture and analyze images and three-dimensional data, with an image recognition unit that calculates distances between road markings and edges, and a driving control unit that adjusts vehicle control based on recognized information, including setting an estimated road marking line when the camera fails to recognize the actual line.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only camera device is used for road marking recognition, then the apparatus can identify road markings under normal conditions, but the recognition accuracy deteriorates in adverse weather or low light conditions
Solution Approach 1:
The patent combines camera device and radar device into a unified surrounding environment recognition system. The camera captures image data for road marking identification, while the radar simultaneously detects three-dimensional objects and road edges. By merging the output from both devices, the system maintains reliable road marking recognition under adverse weather conditions where the camera alone would fail.
Solution Approach 2:
The radar device acts as an intermediary to provide alternative detection capability when the camera device fails. The radar detects road edges and three-dimensional objects, which serve as reference information to compensate for the camera's inability to recognize road markings in adverse conditions, ensuring continuous driving assist functionality.
2Reliability
If the camera device fails to recognize road markings, then the driving assist function must be terminated, but this reduces the duration and reliability of autonomous driving assistance
Solution Approach 1:
The system performs preliminary detection using both camera and radar devices to establish baseline road marking and road edge information before camera failure occurs. This pre-acquired data from the radar is stored and prepared as backup information, enabling the system to maintain driving assist functions even when the camera subsequently fails to recognize road markings.
Solution Approach 2:
The patent changes the operational parameters by switching from camera-based road marking recognition to radar-based road edge detection when camera recognition fails. This parameter change allows the system to continue providing driving assist functions by using different detection principles and data sources, thereby extending the duration of autonomous driving assistance.
3Reliability
If the system uses both camera and radar devices with complex processing, then recognition reliability improves, but the device complexity increases
Solution Approach 1:
The patent extracts and separates the processing paths for camera and radar devices, with the image recognition unit handling camera data for road marking identification and a separate processing path handling radar data for three-dimensional object and road edge detection. This extraction simplifies the overall system architecture by creating distinct, independent processing modules that can operate autonomously and be selectively activated based on environmental conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration allows the apparatus to maintain and continue executing autonomous driving assist functions even when image recognition accuracy is reduced or the camera temporarily fails, ensuring safer vehicle operation by adapting to environmental conditions.
Implementation Method 1
The radar device is configured to obtain, as second driving environment information, three-dimensional object data by outputting a radio wave to a region around the vehicle and sensing a reflected wave from a target
Data Source
AI summary
A driving assist apparatus for a vehicle includes a camera device, a radar device, an image recognition unit, and a driving control unit. The camera device obtains images around the vehicle. The radar device obtains three-dimensional object data around the vehicle. The image recognition unit recognizes a marking line and a road edge and calculates a distance therebetween from a distance between the vehicle and the marking line and a distance between the vehicle and the road edge. The driving control unit controls driving of the vehicle based on the marking line and the road edge. When the image recognition unit fails to recognize the marking line, it sets an estimated marking line, based on the distance between the road edge and the marking line and the distance between the vehicle and the road edge, and the driving control unit controls the driving of the vehicle using the estimated marking line.