Vehicle Distance Detection Using Street View Image Comparison
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Solution Overview
Problem
Current navigation systems face inaccuracies in distance calculation due to low GPS positioning accuracy, particularly in urban areas with closely spaced intersections, leading to navigation errors.
Innovation Solution
A distance detection method that compares street view images with real-time images using feature point matching and depth information to determine the distance between a vehicle and a target position, improving accuracy by using a processor to output the correct distance to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS coordinates are used to calculate distance, then the navigation system can provide distance information, but the positioning accuracy is low leading to inaccurate distance measurements
Solution Approach 1:
The patent combines multiple detection methods: GPS positioning, image recognition (comparing street view images with real-time images), and depth information from depth sensors. By merging these different sensing approaches, the system achieves more accurate distance measurement than any single method could provide alone, directly resolving the contradiction between measurement precision and reliability
Solution Approach 2:
The patent introduces image recognition and depth sensors as intermediary elements between the vehicle and the target position. Instead of relying solely on GPS coordinates, the system uses visual features and depth information as intermediate measurements to calculate distance, improving both accuracy and reliability of the distance measurement
2Ease of manufacture
If GPS-based distance calculation is used, then the system is simple to implement, but navigation errors occur in urban areas with closely spaced intersections
Solution Approach 1:
The patent segments the distance measurement task into multiple independent components: GPS-based coarse positioning, image recognition for target identification, and depth sensing for precise distance measurement. Each segment handles a specific aspect of the measurement, allowing the system to maintain simplicity while achieving high precision through the coordinated work of segmented functions
3Measurement precision
If image comparison and depth information are combined, then distance accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the image processing system multi-functional: the same image capture and processing apparatus is used for both target position identification and distance measurement. By making the imaging system universal, the patent avoids adding separate dedicated devices for each function, thereby improving measurement precision while limiting the increase in device complexity
Data Source
AI summary
A distance detection method, a distance detection system and a computer program product are provided. The method includes: comparing a street view image with a real-time image according to a first distance; determining a distance between a vehicle and a target position in response to the comparison result of the street view image and the real-time image; and outputting the distance between the vehicle and the target position to prompt a user of the vehicle.