Vehicle Movement Estimation Using Sensor Difference Thresholds
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Solution Overview
Problem
Existing vehicle position estimation devices rely on external sensors to correct movement amounts, which can be influenced by noise and errors, and there is a demand for estimating movement amounts using only internal vehicle sensors to improve accuracy.
Innovation Solution
A movement amount estimation device that acquires both external and internal movement amounts using respective sensors and determines which source to use based on a difference threshold, thereby minimizing the impact of instantaneous errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external sensors are used to correct movement amounts, then measurement accuracy can be improved, but the system becomes more susceptible to noise and errors from external objects
Solution Approach 1:
The patent uses detected objects in the external environment as intermediaries to measure movement amount. By tracking the relative position changes between the moving body and these external objects, the system can determine movement amount without being directly affected by noise or errors from the external objects themselves. The external objects serve as reference points that mediate between the sensor and the movement measurement.
Solution Approach 2:
The system compares movement amounts measured by different sensors (external sensors detecting object positions vs. internal sensors detecting movement) and uses feedback mechanisms to determine which measurement to trust. When external sensor measurements are reliable, they are used to correct internal sensor drift; when external measurements are noisy or unreliable, the system relies on internal sensor data, thus adapting to environmental conditions.
2Device complexity
If only internal vehicle sensors are used to estimate movement amount, then the system becomes simpler and less susceptible to external interference, but measurement accuracy decreases due to sensor drift and errors
Solution Approach 1:
The patent merges multiple measurement approaches by simultaneously using both external sensors for detecting object positions and internal sensors for detecting movement. This combination allows the system to leverage the advantages of both approaches: external sensors provide accurate reference-based measurements when available, while internal sensors provide continuous data and serve as backup when external measurements are unavailable or unreliable.
Solution Approach 2:
The system dynamically adjusts which sensor data to use based on real-time conditions. By continuously evaluating the reliability of external sensor measurements (through comparison with internal sensor data and assessment of external environment conditions), the system adapts its measurement strategy, switching between external and internal sensor data as needed to maintain optimal accuracy.
3Reliability
If both external and internal sensors are used together, then measurement accuracy can be maintained under various conditions, but the device complexity and processing requirements increase
Solution Approach 1:
The system implements a hierarchical approach where internal sensors provide baseline continuous measurement, and external sensors provide supplementary correction when conditions permit. This partial use of external sensors (only when reliable) reduces the overall complexity compared to always using both, while still maintaining high reliability when external data is available. The system performs excessive measurement (both sensors) only when necessary.
Data Source
AI summary
A movement amount estimation device includes an external movement amount acquisition unit configured to acquire an external movement amount as a movement amount of a moving body using external information, an internal movement amount acquisition unit configured to acquire an internal movement amount as the movement amount of the moving body using internal information, and a movement amount estimation unit configured to estimate the movement amount of the moving body using at least one of the external movement amount and the internal movement amount. The movement amount estimation unit is further configured to acquire a difference between the external movement amount and the internal movement amount, and determine whether to use the external movement amount or the internal movement amount to estimate the movement amount depending on whether the difference is equal to or less than a predetermined threshold value.