Vehicle Data Processing Apparatus for Undetectable Target Position Estimation
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Solution Overview
Problem
Existing vehicle-mounted data processing systems face challenges in detecting and processing position data of targets, such as stop lines, when the camera fails to recognize them due to unclear or obstructed visibility, leading to difficulties in performing related processes.
Innovation Solution
A data processing apparatus comprising a detector, determiner, and estimator that uses stereo images to detect distances to targets, determines the presence of objects in map data, and calculates relative distances to estimate the position of secondary targets, even when primary targets are not directly detectable by the camera.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera is used to directly detect targets like stop lines, then the detection process is simple, but the detection fails when visibility is unclear or obstructed
Solution Approach 1:
The patent introduces map data as an intermediary to bridge the gap between direct camera detection and target position acquisition. When the camera cannot directly detect targets like stop lines due to poor visibility, the system uses map data containing pre-stored target position information as a mediator to obtain the required position data, thereby maintaining detection reliability without requiring complex hardware modifications
Solution Approach 2:
The patent creates a virtual copy of the physical target position information from map data. Instead of relying solely on direct optical detection, the system copies target position data from pre-stored map information, allowing the vehicle to obtain accurate position data even when the actual target is not visible to the camera
2Loss of information
If the system uses only direct camera detection, then the processing is straightforward, but it cannot obtain position data when targets are not detectable
Solution Approach 1:
The patent performs preliminary action by pre-storing target position information in map data before the actual detection need arises. This allows the system to quickly retrieve position data from map data when direct detection fails, avoiding the need for complex real-time alternative detection methods and maintaining high process efficiency
Solution Approach 2:
The patent uses map data as an intermediary information source to prevent loss of position data. When direct camera detection cannot obtain target position information, the system accesses the intermediary map data to retrieve the required position data, ensuring continuous availability without sacrificing processing efficiency
3Reliability
If the system switches to using map data and calculations, then position data can be obtained for undetectable targets, but the processing complexity increases
Solution Approach 1:
The patent uses copying by retrieving pre-stored target position information from map data instead of performing complex real-time detection or calculation. This approach maintains high reliability for obtaining position data of undetectable targets while keeping processing complexity low, as the system simply copies existing information from the map database
Solution Approach 2:
The patent implements self-service by having the system autonomously determine whether to use direct camera detection or map data based on detection results. The system automatically switches between detection methods without requiring external intervention, managing the complexity of multiple data sources through self-directed decision-making
Data Source
AI summary
A data processing apparatus to be applied to a vehicle includes a detector, a determiner, a processor, and an estimator. The detector detects first distance data on a first distance to a first target based on a distance image. The determiner determines, based on vehicle position data on a position of the vehicle and the first distance data, whether map data includes an object corresponding to the first target. The processor calculates second distance data on a second distance between the first target and a second target having a predetermined relationship with the first target based on the map data when the determiner determines that the map data includes the object corresponding to the first target. The estimator estimates position data of the second target based on the first distance data and the second distance data.