Remote Camera Vehicle Navigation Positioning
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Solution Overview
Problem
Existing vehicle navigation systems face challenges in accurately determining the position of a host-vehicle in dense urban environments where GPS signals are unreliable due to satellite availability issues, multipath interference, and line-of-sight problems, leading to inaccurate positioning and IMU drift.
Innovation Solution
A vehicle navigation system that utilizes images from remote cameras to determine the vehicle-coordinate by processing images with gridlines and metadata, combining sensor data and digital maps to accurately identify the host-vehicle's position, even in environments where GPS is unreliable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS is used for vehicle positioning, then the positioning system is simple and provides global coverage, but positioning accuracy deteriorates in dense urban environments due to satellite availability issues, multipath interference, and line-of-sight problems
Solution Approach 1:
The patent combines multiple positioning methods (GPS, map matching, and image recognition) into a hybrid system. The controller integrates GPS coordinates with visual data from remote cameras and digital map information to determine vehicle position, thereby maintaining reliability while improving precision in urban environments where GPS alone fails.
Solution Approach 2:
The patent introduces remote cameras and digital maps as intermediary elements between the vehicle and the positioning system. These cameras capture images of the vehicle from remote locations, and the controller processes these images alongside GPS data and map information to accurately determine vehicle position, effectively mediating the positioning process in GPS-challenged environments.
2Measurement precision
If remote cameras are used to determine vehicle position, then positioning precision improves in GPS-denied environments, but system complexity increases due to additional hardware and processing requirements
Solution Approach 1:
The system uses remote cameras that capture images of the vehicle itself rather than requiring complex active sensors on the vehicle. The vehicle's own visual appearance in the remote camera images, combined with digital map data, enables position determination without adding complex hardware to the vehicle, thus improving precision while limiting complexity growth.
Solution Approach 2:
The remote camera system serves multiple functions: it captures vehicle images for positioning, provides visual verification of vehicle location, and works across various environments (urban, rural, GPS-denied areas). This multi-functionality justifies the added complexity by providing robust positioning solutions in diverse conditions.
Data Source
AI summary
A vehicle navigation system includes a camera and a controller. The camera is configured to render an image of a host-vehicle in a field-of-view of the camera. The camera located remote from the host-vehicle. The controller is installed on the host-vehicle. The controller is configured to receive the image and determine a vehicle-coordinate of the host-vehicle in accordance with a position of the host-vehicle in the image. The camera may be configured to superimpose gridlines on the image, and the controller may be configured to determine the position in accordance with the gridlines.