Parking Lot Area Estimation from Vehicle Position Data
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Solution Overview
Problem
Existing methods for organizing map data of parking lots are inefficient, especially for large numbers of parking lots within a single block, as they require manual drawing and lack effective techniques for estimating parking lot areas.
Innovation Solution
An information processing device and method that acquires position information from movable bodies to estimate parking lot areas by analyzing their movements and parking positions, distinguishing between running and parking areas, and updating parking lot information based on density and time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual drawing methods are used to organize map data of parking lots, then map data can be created, but the productivity is extremely low especially for huge number of parking lots
Solution Approach 1:
The patent replaces manual mechanical drawing operations with automated image processing and recognition systems. The system automatically detects parking lot boundaries from aerial images or map data through computer-based image processing, eliminating the need for workers to manually draw each parking lot area.
Solution Approach 2:
The patent uses existing aerial images and map data as source material to automatically generate parking lot boundary information. Instead of creating map data from scratch through manual drawing, the system copies and processes existing visual data to extract parking lot areas, significantly improving efficiency.
2Measurement precision
If pseudo parking lot areas enclosed by roads are used, then some parking lot coverage is achieved, but the measurement precision is insufficient when there are multiple parking lots in a single block
Solution Approach 1:
The patent applies segmentation by dividing the image processing into distinct stages: detecting candidate areas enclosed by roads, then further segmenting these areas to identify individual parking lot boundaries within each enclosed space. This allows multiple parking lots within a single block to be separately identified and measured accurately.
Solution Approach 2:
The patent applies local quality by using different processing strategies for different areas: first identifying road-enclosed regions globally, then applying specific parking lot detection algorithms locally within each region to distinguish individual parking lots based on their unique characteristics such as entrance positions and internal road patterns.
Data Source
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AI summary
The parking lot area is estimated based on the information acquired by driving vehicles. The information processing device acquires position information including a parking position from a movable body, and estimates parking lot information related to a parking lot existing in an out-of-road area based on the position information of plural movable bodies entered the out-of-road area. By analyzing movements and/or parking positions of the movable bodies in the out-of-road area, information related to the parking lot can be estimated.