Vehicle Localization Using Sensor Fusion for Inaccurate GPS Turns
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Solution Overview
Problem
Traditional transportation matching systems rely on GPS data, which is inaccurate in areas with poor connectivity and insufficient for autonomous vehicle navigation, requiring more precise location accuracy for safe operation.
Innovation Solution
The system utilizes additional sensor data from gyroscope, accelerometer, and barometer sensors to determine the vehicle's location and path, integrating this data with GPS data to enhance accuracy, especially in areas with poor GPS connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS data is used to determine vehicle location, then the system is simple to operate, but the measurement precision is insufficient in areas with poor connectivity
Solution Approach 1:
The patent combines GPS data with sensor data from gyroscope, accelerometer, and barometer to determine vehicle location. This merging of multiple data sources resolves the contradiction by maintaining system simplicity while improving measurement precision through data fusion, particularly in areas with poor GPS connectivity.
Solution Approach 2:
The patent introduces sensor data as an intermediary to bridge the gap when GPS data becomes unreliable. The sensors act as mediators that provide complementary information about vehicle motion and orientation, enabling accurate location determination even when direct GPS signals are weak or unavailable.
2Reliability
If GPS data alone is used for path tracking, then the device complexity is low, but the reliability is insufficient for autonomous vehicle navigation
Solution Approach 1:
The patent merges GPS-based location data with sensor-based motion data to create a more reliable path tracking system. This combination addresses the reliability requirement for autonomous navigation while managing device complexity through integrated processing of multiple data streams.
Solution Approach 2:
The system uses sensor data to provide feedback on vehicle motion and orientation, which compensates for GPS inaccuracies and improves navigation reliability. The feedback mechanism allows the system to continuously adjust and refine path tracking accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides more accurate vehicle location and path tracking, improving navigation precision for both human-operated and autonomous vehicles, even in challenging environments.
Implementation Method 1
sensor data from a gyroscope
Implementation Method 2
sensor data from an accelerometer
Implementation Method 3
sensor data from a barometer
Data Source
AI summary
In one embodiment, a method includes receiving a sequence of location data points associated with a vehicle from a first source and a sequence of motion data points associated with the vehicle from a second source. The method includes determining a first turn angle of the vehicle based on at least one location data point in the sequence of location data points associated with the first source. The method includes determining that an additional location data point in the sequence of location data points is inaccurate. The method includes determining a second turn angle of the vehicle by using at least one motion data point in the sequence of motion data points corresponding to the additional location data point that is inaccurate. The method includes determining a turn trajectory of the vehicle by using at least the first turn angle and the second turn angle.