Vehicular Sensor QoS Correction for Plug-and-Play Interoperability
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Solution Overview
Problem
Existing solutions for vehicular plug-and-play ecosystems do not provide a means for achieving the required Quality of Service (QoS) necessary for true interoperability across different vehicle makes and models, primarily due to variations in onboard sensor error rates influenced by environmental factors.
Innovation Solution
A QoS system and architecture that design vehicle sensors to cooperate with the QoS system, utilizing a non-transitory memory to store a QoS table and a communication interface to provide this data to the QoS system. The QoS system enhances sensor measurement precision by using the QoS table and environmental data to correct for sensor errors, thereby ensuring uniform QoS across vehicles from the same manufacturer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing solutions are used for vehicular plug-and-play ecosystems, then vehicle software can operate on different makes and models, but the Quality of Service (QoS) varies due to different sensor error rates under environmental conditions
Solution Approach 1:
The patent applies local quality by creating sensor-specific QoS profiles that characterize the measurement precision of individual sensors under specific environmental conditions. Each sensor receives local quality attention through dedicated calibration and error rate characterization, allowing the system to account for variations in sensor performance across different makes and models while maintaining overall system interoperability.
Solution Approach 2:
The patent changes parameters by introducing QoS values that represent sensor error rates under different environmental conditions. These parameters are stored in data structures associated with each sensor, and the system dynamically selects appropriate QoS values based on current environmental conditions, thereby adjusting measurement precision compensation in real-time across different vehicle platforms.
2Ease of operation
If sensor measurements are used directly without correction, then the system is simple to operate, but the Quality of Service varies across different vehicle makes and models
Solution Approach 1:
The patent implements self-service by having sensors automatically provide their own QoS profiles and error rate characteristics. Each sensor is calibrated and characterized during manufacturing or initialization, storing its own performance data in associated data structures. This self-characterization eliminates the need for manual calibration across different vehicle platforms, maintaining ease of operation while ensuring reliable and uniform QoS through automated error compensation.
3Measurement precision
If QoS correction is implemented for all sensors, then uniform Quality of Service is achieved across vehicles, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calibrating and pre-characterizing each sensor during manufacturing or initialization. QoS profiles and error rate data are determined in advance and stored in data structures associated with each sensor. This preliminary characterization eliminates the need for complex real-time calibration routines, reducing operational complexity while maintaining high measurement precision through pre-computed correction factors.
Solution Approach 2:
The patent uses copying by creating standardized data structures that replicate the same QoS profile format across all sensors and vehicle platforms. Instead of implementing complex sensor-specific processing logic, the system copies and applies the same correction methodology uniformly to all sensors using standardized data structures, thereby reducing device complexity through standardization while maintaining measurement precision.
Data Source
AI summary
The disclosure includes embodiments for improving quality of service for a vehicular plug-and-play ecosystem. A method according to some embodiments includes receiving environment data describing an environmental condition of a vehicle sensor. The method includes determining a quality of service value for the vehicle sensor based on the environment data. The method includes determining a corrected sensor measurement for the vehicle sensor based on the quality of service value. In some embodiments, the vehicle sensor includes a non-transitory memory that stores digital data that describes the environmental condition and the quality of service value for the vehicle sensor when it operates in the environmental condition. In some embodiments, the quality of service value is a factor that corrects the sensor measurement of the vehicle sensor when it operates in the environmental condition.