Autonomous Vehicle Sensor Compensation for Acceleration Mismatch
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Solution Overview
Problem
Autonomous vehicles face challenges in accurately determining their position and orientation due to acceleration-related sensor mismatch between different portions of the vehicle, such as the cab and chassis, caused by suspension movements, leading to misinterpretation of sensor data and potential errors in navigation.
Innovation Solution
A computing system is implemented to compensate for acceleration-related sensor mismatch by obtaining data indicative of the mismatch, determining a sensor compensation action, and implementing it to adjust sensor data, such as disregarding or adjusting uncertainty parameters, and modeling the movement of the vehicle portions, thereby improving the accuracy of pose determination and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the autonomous vehicle uses multiple sensors (IMU and wheel odometry sensor) to measure acceleration, then the measurement coverage is improved, but sensor data mismatch occurs due to relative movement between vehicle portions
Solution Approach 1:
The computing system acts as an intermediary that receives acceleration measurements from both the IMU and wheel odometry sensor, compares them to detect mismatches, and implements compensation actions. This mediator approach resolves the contradiction by coordinating the sensor data and eliminating inconsistencies caused by relative movement between vehicle portions.
Solution Approach 2:
The system continuously monitors acceleration measurements from multiple sensors, compares them in real-time, and implements compensation actions based on detected mismatches. This feedback loop ensures that sensor data consistency is maintained despite the use of multiple measurement devices, resolving the contradiction between measurement coverage and data reliability.
2Adaptability or versatility
If the cab portion is allowed to pitch and roll relative to the chassis portion via suspension, then the vehicle comfort and terrain adaptability are improved, but sensor data mismatch and misinterpretation occur
Solution Approach 1:
The system dynamically adjusts sensor data interpretation based on detected acceleration mismatches. When the cab pitches or rolls relative to the chassis, the computing system identifies the mismatch and implements compensation actions, allowing the suspension to remain dynamic and adaptable while maintaining measurement precision through real-time corrections.
Solution Approach 2:
The system changes the interpretation parameters of sensor data based on detected acceleration mismatches. By monitoring acceleration patterns and identifying when mismatches occur due to cab-chassis relative movement, the system adjusts how sensor data is processed and interpreted, maintaining accuracy despite the dynamic suspension operation.
3Measurement precision
If the computing system implements sensor compensation actions, then the navigation accuracy is improved, but the system complexity increases
Solution Approach 1:
The computing system performs self-diagnosis by automatically detecting acceleration mismatches between sensors and autonomously implementing compensation actions without external intervention. This self-service approach improves navigation accuracy while managing system complexity by eliminating the need for additional external compensation devices or complex manual calibration procedures.
Data Source
AI summary
Systems and methods for compensating for acceleration-related sensor mismatch of an autonomous vehicle are provided. A computing system for compensating for autonomous vehicle acceleration-related sensor mismatch can include one or more processors and one or more tangible, non-transitory, computer readable media that collectively store instructions that when executed by the one or more processors cause the computing system to perform operations. The operations can include obtaining data indicative of an acceleration mismatch between a first portion and a second portion of an autonomous vehicle. The operations can further include determining a sensor compensation action based at least in part on the data indicative of the acceleration mismatch. The operations can further include implementing the sensor compensation action for the autonomous vehicle.