Road Recognition Using Vehicle Cameras for Accurate Lane Positioning
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Solution Overview
Problem
Existing vehicle navigation systems struggle with accurate lane positioning in complex road conditions, often requiring manual user selection and leading to potential errors and safety risks.
Innovation Solution
A road recognition method utilizing a DMSDP service to communicate between a mobile device and vehicle-mounted cameras, enabling the mobile device to control the cameras to capture images, splice them, and use navigation information for precise road identification without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual lane selection is implemented, then user control is improved, but navigation accuracy and safety are worsened due to user error and distraction
Solution Approach 1:
The system performs automatic road recognition and lane positioning without requiring user intervention. The navigation system independently captures images, processes them to identify the current road, and determines positioning information, enabling the system to serve itself rather than relying on manual user input
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated image processing and recognition system. Instead of users manually selecting lanes based on visual perception, the system uses camera images combined with navigation data to automatically determine positioning, substituting human action with automated technological processes
2Measurement precision
If automated road recognition is implemented, then navigation accuracy is improved, but system complexity increases due to multiple camera HALs and DMSDP service integration
Solution Approach 1:
The patent creates virtual camera HALs that can represent multiple physical cameras or camera configurations. These virtual HALs provide a unified interface that can adapt to different road recognition scenarios, allowing the same system architecture to handle various camera setups without requiring separate complex configurations for each case
Solution Approach 2:
The DMSDP service acts as an intermediary layer between the navigation application and the camera hardware. It manages the communication and data flow between multiple camera HALs and the road recognition algorithm, abstracting the complexity of hardware integration from the navigation logic and providing a standardized interface
3Area of stationary object
If multiple cameras are used for panoramic imaging, then field of view is improved, but positioning capability is worsened due to lack of road context
Solution Approach 1:
The patent merges two different data sources: the panoramic images captured by multiple cameras and the road information from the navigation application. By combining these previously separate information streams, the system achieves both wide field of view coverage and accurate positioning capability, as the navigation data provides the contextual road framework that the camera images alone cannot provide
Data Source
AI summary
A road recognition method includes, when detecting a road recognition request, a first device that sends, by using a DMSDP service, a control command to an entity camera corresponding to a virtual camera HAL, where the control command is for controlling the entity camera to capture a current image. The first device receives, by using the DMSDP service, the current image returned by the entity camera in response to the control command and the first device recognizes, based on the current image and road information that is obtained by a local navigation application, a road on which the first device is located.