Vehicle Positioning via Virtual Model and Image Processing
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Solution Overview
Problem
Current vehicle location determination systems using GNSS receivers are not precise, as they provide estimates rather than accurate spatial locations, and manual measurements are prone to human error, leading to less accurate vehicle positioning and potential safety and efficiency issues.
Innovation Solution
A system and method that utilize a movable communication device with multiple communication units positioned relative to a vehicle to determine spatial locations, generating a virtual model of the vehicle based on these locations, which provides a more accurate representation of the vehicle's spatial position for improved tracking and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual measurement is used to determine GNSS receiver location on vehicle, then ease of operation is improved, but measurement precision deteriorates due to human error
Solution Approach 1:
The patent replaces manual mechanical measurement with an automated optical/image processing system. The image capture device takes photographs of the vehicle, and image processing automatically identifies the GNSS receiver position and calculates its location relative to the vehicle, eliminating human measurement error while maintaining ease of operation.
Solution Approach 2:
The patent creates a visual copy (image) of the vehicle and its components. By capturing an image of the vehicle with the GNSS receiver and processing this copy, the system can accurately determine the receiver's position without physically measuring it, thus improving precision while keeping the process simple.
2Adaptability or versatility
If GNSS receiver is positioned at different locations on vehicle, then adaptability is improved, but measurement precision deteriorates due to uncertainty in vehicle spatial occupation
Solution Approach 1:
The patent replaces manual measurement with automated image capture and processing. The system captures images of the vehicle, automatically identifies the GNSS receiver position in the image, and calculates its precise location relative to the vehicle. This automated approach eliminates human error and provides consistent, accurate measurements regardless of where the receiver is positioned on the vehicle.
Solution Approach 2:
The patent transitions from one-dimensional manual coordinate measurement to two-dimensional image-based positioning. By capturing the vehicle in an image and using image processing to locate the GNSS receiver within the image frame, the system adds a visual dimension to the measurement process, enabling more accurate and consistent position determination across different receiver locations.
Data Source
AI summary
System includes one or more processors configured to receive location data from a device communication unit and from at least a first communication unit and a second communication unit that are positioned relative to a vehicle. The location data includes a device spatial location of the device communication unit, a first spatial location of the first communication unit, and a second spatial location of the second communication unit. The one or more processors are further configured to determine a vehicle spatial location of a designated point of the vehicle. The one or more processors are further configured to generate a virtual model. The virtual model, when used by a positioning system to locate the vehicle, indicates the vehicle spatial location relative to an estimated location of the vehicle.