Bounding Box Dimension Adjustment for Sensor Viewing Angles
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Solution Overview
Problem
Current object detection systems generate bounding boxes with dimensions that do not accurately outline detected objects, leading to uncertainties that negatively impact downstream processes like path planning, especially when the sensor's viewing angle varies.
Innovation Solution
A system and method that adjust the dimensions of bounding boxes based on the magnitude of the viewing angle of the sensor with respect to the bounding box, using a processor and memory with an adjustment module to generate and refine bounding boxes from point clouds, ensuring more accurate spatial definition of objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bounding box dimensions are generated directly from point cloud data without adjustment, then the generation process is simple and fast, but the bounding box dimensions become inaccurate when the sensor's viewing angle varies
Solution Approach 1:
The patent applies parameter changes by adjusting bounding box dimensions based on the sensor's viewing angle parameter. The system calculates the viewing angle between the sensor and the bounding box, then modifies the bounding box dimensions according to this angle to compensate for perspective distortion. This resolves the contradiction by introducing a controlled parameter adjustment that improves accuracy without requiring complete system redesign.
Solution Approach 2:
The patent introduces an intermediary adjustment mechanism that sits between the raw point cloud data and the final bounding box output. This intermediary module calculates viewing angles and applies dimensional adjustments as a mediating step, allowing the system to maintain simplicity in data collection while adding only the necessary computational layer for accuracy improvement.
2Measurement precision
If bounding box dimensions are adjusted based on viewing angle calculations, then the accuracy of object dimension representation improves, but the computational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating or pre-defining adjustment parameters based on viewing angle ranges. Instead of performing complex iterative optimizations during real-time processing, the system prepares adjustment factors in advance or uses pre-computed geometric relationships, significantly reducing the computational burden during actual object detection and bounding box generation.
3Reliability
If the bounding box dimensions are adjusted for different viewing angles, then the reliability of downstream processes like path planning improves, but the system complexity increases
Solution Approach 1:
The patent applies local quality by implementing viewing angle-based adjustments selectively for different sides of the bounding box rather than uniformly adjusting all dimensions. The system identifies which bounding box sides are most affected by the viewing angle and applies adjustments locally to those specific dimensions, reducing unnecessary computations and simplifying the overall system while maintaining reliability for downstream processes.
Data Source
AI summary
Systems and methods for adjusting the dimensions of point clouds are described herein. In one example, a system includes a processor and a memory having instructions that, when executed by the processor, cause the processor to generate a bounding box using a point cloud generated by a sensor and adjust a dimension of the bounding box based on a magnitude of a viewing angle of a side of the bounding box with respect to the sensor.