Vehicle Position Recognition Using GNSS and Dead Reckoning Fusion
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Solution Overview
Problem
The accuracy of vehicle position recognition using Global Navigation Satellite System (GNSS) is compromised in shaded areas such as cities or forests due to loss of satellite communication.
Innovation Solution
An advanced driver assistance system that utilizes a combination of GPS position information and dead reckoning, employing Euclidean and Mahalanobis distances, along with an extended Kalman filter, to predict and filter vehicle position data, ensuring accurate recognition even in areas with limited satellite visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS satellite signals are used for position recognition, then position accuracy is improved in open areas, but position recognition fails in shaded areas such as cities or forests
Solution Approach 1:
The patent combines GNSS position recognition with dead reckoning technology to create a hybrid positioning system. When GNSS signals are available, the system uses satellite-based positioning; when signals are blocked in shaded areas, the system seamlessly transitions to dead reckoning using wheel speed sensors and yaw rate sensors to continue providing position information, thereby resolving the contradiction between measurement precision and reliability
Solution Approach 2:
The patent introduces dead reckoning as an intermediary solution between GNSS position updates. The dead reckoning system acts as a bridge that maintains position tracking continuity during GNSS signal outages by calculating position based on vehicle motion parameters, ensuring reliability without sacrificing the high accuracy of GNSS when available
2Device complexity
If only GNSS position information is used, then system complexity is reduced, but position accuracy deteriorates in obstructed environments
Solution Approach 1:
The patent implements a dynamic positioning system that adapts its operation mode based on environmental conditions. The system dynamically switches between GNSS-only mode, dead reckoning-only mode, and fused positioning mode depending on signal availability and vehicle motion state, optimizing position accuracy for each scenario while managing system complexity through adaptive control
3Reliability
If dead reckoning is used alone for position recognition, then position continuity is maintained in all areas, but position accuracy deteriorates compared to GNSS
Solution Approach 1:
The patent prepares for GNSS signal loss by having dead reckoning capability ready in advance. The system continuously monitors GNSS signal quality and pre-switches to or supplements with dead reckoning before complete signal loss occurs, cushioning against the accuracy deterioration that would result from relying solely on dead reckoning by maintaining a hybrid approach when possible
Data Source
AI summary
A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing through the second outlier filter; and outputting information about the current position of the recognized vehicle as an image or a sound.