Parking Space Boundary Detection Using Vehicle Sensor Data
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Solution Overview
Problem
Current methods for identifying permitted parking spaces are limited by GPS errors, missing data, and occasional illegal parking, which can lead to inaccurate detection of parking boundaries.
Innovation Solution
A method that uses data from distance sensors on vehicles to determine the boundaries of permitted parking spaces by analyzing the ratio of detected edges, with boundaries determined by local peaks or statistically significant departures from averages, and displaying these boundaries for drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If GPS data is used to identify parking spaces, then coverage area is improved, but measurement precision deteriorates due to GPS errors
Solution Approach 1:
The patent combines GPS data with sensor data from multiple vehicles to identify parking spaces. By merging data from multiple sources (GPS coordinates and sensor-detected edges), the system achieves both wide coverage and improved boundary detection accuracy, resolving the contradiction between coverage area and measurement precision.
Solution Approach 2:
The patent introduces sensor data as an intermediary to verify and refine GPS-based parking space identification. Sensors detect actual edges and boundaries, acting as a mediator between GPS data and final parking space determination, thereby improving measurement precision without sacrificing coverage area.
2Reliability
If sensor data from multiple vehicles is collected, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the data processing task by having each vehicle independently detect edges and generate data, then combining these segmented results at a central system. This segmentation approach improves reliability through multiple independent detections while managing complexity by dividing the overall detection task across multiple vehicles.
Solution Approach 2:
Each vehicle performs self-service by autonomously detecting edges and generating sensor data without requiring complex centralized control for each detection event. This self-service approach improves reliability through distributed detection while reducing overall system complexity by eliminating the need for complex coordination mechanisms.
3Measurement precision
If boundaries are determined using statistical methods, then measurement precision is improved, but loss of time increases due to data processing
Solution Approach 1:
The patent performs preliminary actions by collecting and storing sensor data from multiple vehicles before conducting statistical analysis. Edge detection and data aggregation are done in advance, allowing subsequent boundary determination to use pre-processed data, thereby improving measurement precision while minimizing real-time processing time.
Solution Approach 2:
The patent uses partial action by applying statistical methods only to the most relevant data points (detected edges and boundaries) rather than processing all collected data. This selective application of statistical analysis improves boundary determination accuracy while reducing overall processing time by focusing computational resources on critical data.
Data Source
AI summary
A method includes receiving data corresponding to spaces situated in a street section, the data being ascertained by at least one ascertaining vehicle driving through the street section and including information corresponding to a beginning edge of at least one object and a ending edge of at least one second object, determining boundaries of at least one space in which parking is permitted based on the received data, and generating a display representation of the boundaries of the at least one space in which parking is permitted. The method includes receiving the data and determining the boundaries, for example, each time an ascertaining vehicle drives through the street.