Vehicle Exterior Environment Recognition Apparatus Speed Derivation
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Solution Overview
Problem
Existing vehicle exterior environment recognition systems face challenges in accurately deriving the speed of three-dimensional objects, particularly when only the side of the object is visible, as the center position changes with the object's movement, leading to unstable and inaccurate speed derivation.
Innovation Solution
The system employs a vehicle exterior environment recognition apparatus and method that includes a position derivation unit, grouping unit, and speed derivation unit, which determine whether the side of the three-dimensional object is within a specific end area of the image and derive its speed based on the end of the object in the depth direction when it satisfies certain determination conditions, improving accuracy by using the end position as a stable reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the center position of the side of the three-dimensional object is used for speed derivation, then the speed can be calculated, but the accuracy deteriorates when the object moves because the center position changes
Solution Approach 1:
The patent changes the reference parameter from the center position of the side to the end position in the depth direction. This parameter change ensures that the reference point remains stable even when the object moves laterally, as the end position in depth direction is less affected by lateral movement. The determination condition checks whether the side is included in the end area to validate this parameter change approach.
2Reliability
If the side of the three-dimensional object is used for speed derivation, then speed information can be obtained, but reliability deteriorates when only the side is visible
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different parts of the object based on visibility. When only the side is visible, the system specifically uses the end position in the depth direction rather than the center position, recognizing that different local features have different reliability characteristics under different visibility conditions. The determination condition identifies when this special local feature (end in depth direction) should be used.
3Measurement precision
If the center position is used as reference, then the calculation is simple, but measurement precision deteriorates due to position changes during object movement
Solution Approach 1:
The patent performs preliminary action by establishing determination conditions before speed derivation. The system first checks whether the side of the object is included in the end area of the image, and only when this condition is satisfied does it proceed to use the end position in the depth direction for speed calculation. This preliminary check ensures that the more complex determination logic is only applied when necessary, balancing accuracy improvement with computational complexity.
Data Source
AI summary
A vehicle exterior environment recognition apparatus includes a position derivation unit, a grouping unit, and a speed derivation unit. The position derivation unit is configured to derive three-dimensional positions of respective blocks from an image received from an imaging device. The grouping unit is configured to group the respective blocks and to identify a three-dimensional object. The speed derivation unit is configured to make a determination as to whether a side of the three-dimensional object satisfies a determination condition that the side of the three-dimensional object is included in an end area situated on an end side of the image in a horizontal direction. The speed derivation unit is configured to derive the speed of the three-dimensional object in accordance with an end of the side of the three-dimensional object in a depth direction when the determination is made that the side of the three-dimensional object satisfies the determination condition.


