Driver Assistance Control Using GNSS Signal Integrity Assessment
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Solution Overview
Problem
The accuracy and reliability of vehicle position determination using GNSS signals are compromised by environmental interference and errors from sensors, limiting the availability and effectiveness of driving assistance functions in automated driving systems.
Innovation Solution
A system comprising a GNSS receiver module, an assessment module, and a control module that evaluates the signal integrity status of GNSS signals using a lookup table to determine their usability for controlling driving assistance functions, allowing adaptive weighting of GNSS data and integration with other sensors to ensure accurate positioning and function availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS signals are used to determine vehicle position, then position information can be obtained, but the accuracy and reliability are compromised by environmental interference and sensor errors
Solution Approach 1:
The patent combines multiple independent sources of position information (GNSS receiver, camera-based lane boundary capture, lidar-based object capture, odometry-based prediction, and inertial sensors) to form a statistically estimated vehicle position. This fusion of multiple measurement sources compensates for the weaknesses of individual sensors and improves both accuracy and reliability of position determination.
Solution Approach 2:
The system continuously monitors the quality and reliability of GNSS signals and other sensor inputs, using this feedback to dynamically adjust the weighting and fusion of position estimates. When GNSS signals degrade due to environmental interference, the system reduces their weight and relies more on other sensor sources, maintaining reliable position determination throughout.
2Reliability
If multiple sources of position information are used to statistically estimate vehicle position, then accuracy and reliability improve, but system complexity increases
Solution Approach 1:
The patent employs a universal sensor fusion framework that can process and integrate multiple types of position information (GNSS, camera, lidar, odometry, inertial sensors) through a common statistical estimation algorithm. This multi-functional approach allows the same system architecture to handle diverse sensor inputs, reducing overall system complexity compared to implementing separate processing systems for each sensor type.
3Adaptability or versatility
If GNSS signal quality is monitored and driving assistance function is controlled based on signal integrity status, then function availability is improved in degraded conditions, but control complexity increases
Solution Approach 1:
The system dynamically adjusts the operation and weighting of the driving assistance function based on real-time assessment of GNSS signal integrity status. When signal quality is high, the function operates with full GNSS-based positioning. When signal quality degrades, the system automatically transitions to alternative positioning sources and adjusts control parameters, enabling the function to adapt to varying environmental conditions without manual intervention.
Data Source
AI summary
Systems, methods, and apparatuses are provided for controlling a driving assistance function. A GNSS receiver module is configured to receive GNSS signals provide information relating to a quality of currently available GNSS signals. An assessment module is configured to use a lookup table to determine, based on the information provided, a signal integrity status which relates to the usability of the currently available GNSS signals for controlling the driving assistance function. A control module is configured to control the driving assistance function based on the signal integrity status of the currently available GNSS signals.