Lane Direction Estimation Using External Environment Accuracy
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Solution Overview
Problem
Existing automated driving devices inaccurately estimate the traveling direction of lanes due to low precision in external environment information, such as object and dividing line data acquired by sensors.
Innovation Solution
An information processing device that acquires external environment information and determines the traveling direction of lanes by assessing the precision of this information, using a first accuracy indicator to correct estimates and prevent erroneous lane direction determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external environment information is acquired by sensors to determine lane traveling direction, then the automated driving function is enabled, but the measurement precision of the external environment information is low leading to erroneous estimation
Solution Approach 1:
The patent introduces an accuracy evaluation unit that acts as an intermediary between the external environment information acquisition and the lane traveling direction determination. This unit evaluates the accuracy of the acquired external environment information (such as dividing line information and object information) and provides this accuracy assessment to the determination unit, which then uses it to weigh and integrate multiple information sources for more reliable lane direction estimation.
Solution Approach 2:
The patent implements a feedback mechanism where the accuracy evaluation unit continuously assesses the quality of external environment information and feeds this accuracy data back to the determination unit. The determination unit then adjusts its estimation process based on this feedback, giving more weight to high-accuracy information and seeking alternative information sources when accuracy is low, thereby improving overall estimation reliability.
2Reliability
If multiple information sources are integrated to improve lane direction determination, then the reliability increases, but the device complexity increases
Solution Approach 1:
The patent applies local quality by evaluating the accuracy of different information sources locally and differently. Instead of treating all input information uniformly, the accuracy evaluation unit assesses each information source (dividing line information, object information, map information) based on its specific characteristics and reliability metrics. The determination unit then integrates these information sources with locally optimized weighting, giving more importance to high-accuracy sources in specific contexts while maintaining overall system simplicity.
Data Source
AI summary
An object of the present invention is to provide a technology for estimating a traveling direction of a lane by using accuracy of external environment information. An information processing device (100) of the present invention includes at least one memory (102 and 103) including a program code and at least one processor (101) configured to execute the program code. The processor is configured to acquire external environment information including at least information regarding a peripheral region of a vehicle, and determine a traveling direction of at least one lane by using a first accuracy (A1) indicating the level of precision of the external environment information.