Vehicle Navigation Using Camera-Based Characteristic Point Recognition
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Solution Overview
Problem
Current vehicle navigation systems require users to constantly monitor electronic maps for turn and forking points, which can be distracting and inefficient, especially while driving.
Innovation Solution
An electronic device with a navigation system that includes a camera module, storage device, display device, and function modules such as a receiving, positioning, determination, extraction, acquiring, and output module, which uses image extraction methods like Hough transformation and Fourier shape descriptors to recognize characteristic points and prompt users when approaching turns or forking points, allowing for hands-free navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users constantly monitor electronic maps for turn and forking points, then navigation accuracy is improved, but driver distraction increases
Solution Approach 1:
The navigation system automatically detects characteristic points (turns, forking points) using image extraction algorithms and extracts navigation information without requiring driver intervention. The system serves itself by autonomously processing images from the camera module to identify route features, eliminating the need for drivers to constantly monitor the electronic map while maintaining navigation accuracy.
Solution Approach 2:
The patent replaces the mechanical action of visual monitoring by the driver with an automated image processing system. Using algorithms such as Hough transformation and Fourier shape descriptors, the system automatically detects and identifies characteristic points from camera images, substituting the driver's visual attention and manual interpretation with computational analysis.
2Measurement precision
If users manually monitor electronic maps for navigation information, then navigation information accuracy is improved, but operation efficiency decreases
Solution Approach 1:
The system performs preliminary extraction of characteristic points and navigation information before the driver needs to make navigation decisions. By continuously processing camera images to identify turns, forking points, and route features in advance, the system prepares navigation information ahead of time, allowing the driver to receive alerts without having manually scanned the map for this information.
Solution Approach 2:
The system establishes a feedback loop where camera images are continuously processed to detect characteristic points, and navigation information is extracted and presented to the driver through alerts and displays. This automated feedback mechanism ensures navigation information is provided accurately and timely without requiring manual monitoring by the driver.
3Reliability
If the navigation system processes images continuously to recognize characteristic points, then navigation reliability is improved, but energy consumption increases
Solution Approach 1:
The system applies image processing algorithms selectively rather than continuously processing all images. By using algorithms like Hough transformation and Fourier shape descriptors to identify specific characteristic points (turns, forking points, intersections), the system performs partial analysis focused on navigation-relevant features, reducing overall energy consumption while maintaining reliable navigation information extraction.
Data Source
AI summary
A navigation method for a vehicle includes receiving a destination inputted by a user and establishing a current position of a vehicle using a positioning device. Based on an electronic map, a route from the current position to the destination is determined and characteristic points of the determined route are extracted. A street view mapping of the determined route is acquired. Based on the street view mapping, and using a camera, a marker of each of the characteristic points is extracted using an image extraction method. When the vehicle arrives at each of the characteristic points, a prompt is output for the user by recognizing the marker of each of the characteristic points from the street view mapping.