Vehicle Location Identification via GPS-Image Mapping
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Solution Overview
Problem
Current image analysis technologies face difficulties in accurately detecting and monitoring specific vehicles under visual remote monitoring control, especially when vehicles are hidden or moving, leading to inefficiencies in remote monitoring and driving assistance for autonomous vehicles.
Innovation Solution
An information processing device with a computer system that includes a processor and storage, which acquires vehicle location data via GPS and image data from cameras, uses a correspondence relationship to identify vehicle locations on images, and displays this information to operators, enabling accurate remote monitoring and assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If image analysis technology is used to detect vehicles, then automated detection is achieved, but detection accuracy deteriorates when vehicles are hidden or moving
Solution Approach 1:
The patent introduces location information from GPS or other positioning systems as an intermediary to bridge the gap between automated detection and accurate identification. This location data serves as a mediator that enables the system to accurately identify vehicle positions even when visual detection fails due to hiding or motion, thus resolving the contradiction between automation and precision.
Solution Approach 2:
The system creates a copy of the vehicle's location through positioning data (GPS coordinates) that complements the visual image data. This positional copy allows the system to maintain accurate detection even when the visual representation of the vehicle is obscured or indistinct, thereby improving measurement precision while maintaining automation.
2Ease of operation
If visual remote monitoring is performed, then operator control is achieved, but monitoring efficiency deteriorates due to difficulty in identifying specific vehicles
Solution Approach 1:
The system provides feedback to the operator by overlaying location information on the monitored images. This feedback mechanism highlights the positions of vehicles of interest, enabling operators to quickly identify and focus on specific vehicles without manually searching through the entire image, thus significantly improving monitoring efficiency while preserving operator control.
Solution Approach 2:
The patent employs visual indicators such as color-coded markers or highlighted regions on the displayed images to represent different vehicles or areas of interest. This color-coding system allows operators to rapidly distinguish between multiple vehicles and identify target vehicles at a glance, thereby enhancing monitoring efficiency without compromising operational control.
3Measurement precision
If image data is processed to identify vehicles, then vehicle location is determined, but system complexity increases
Solution Approach 1:
The patent segments the vehicle identification process into two independent components: visual image acquisition and positional data acquisition. By separating these functions and combining them through location information matching, the system achieves precise vehicle location identification without requiring complex integrated image processing, thus managing system complexity while improving measurement precision.
Data Source
AI summary
In an information processing device, a first acquisition part receives information regarding a first actual location of a vehicle on a road transmitted from the moving body. A second acquisition part receives an image transmitted from a camera. A memory stores information regarding a correspondence relationship between an image location on the image and a second actual location on a road corresponding to the image location. An identification part specifies a moving body image location on the image based on the first actual location and the information regarding the correspondence relationship. A display control part instructs a display device to display the image and information indicating the moving body image location together.