Vehicle Sensor Fusion for Camera Object Distance Alignment
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Solution Overview
Problem
Existing vehicle sensor systems face challenges in accurately detecting and tracking environmental objects due to the limitations of individual sensors, such as precise distance determination by radar and lidar sensors but poor attribute determination, and vice versa for image cameras, leading to inefficient object detection and potential incorrect calibrations.
Innovation Solution
A processing unit that synchronizes and fuses data from multiple sensors, including cameras and distance-sensing sensors, by converting coordinate systems and adjusting camera object positions and scales to enhance overlap analysis, allowing for precise determination of object distances and attributes, thereby improving detection quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data from multiple different types of environmental sensors is fused, then detection quality and reliability are improved, but system complexity increases
Solution Approach 1:
The patent segments the sensor fusion process into distinct functional modules: data acquisition from multiple sensors, coordinate system transformation, data association, and fusion algorithm processing. This modular segmentation allows each component to be optimized independently and simplifies the overall system architecture, reducing complexity while maintaining high detection reliability through comprehensive multi-sensor integration.
Data Source
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AI summary
A processing unit (101) for a vehicle (100) is described, wherein the processing unit (101) is configured to determine image data from a camera (112) of the vehicle (100) which indicate an environment of the vehicle (100) starting from a reference point (305), and to detect at least one camera object (250) in the environment of the vehicle (100) on the basis of the image data. The processing unit (101) is also configured to determine sensor data (500) from a distance-sensing environment sensor (111) of the vehicle (100). The camera object (250) can be shifted to a plurality of different distances from the reference point (305), and a corresponding plurality of values of a degree of overlap between the particular camera object (250) and the sensor data (500) can be determined for the plurality of different distances. The evaluation unit (101) is also configured to determine an object distance between the camera object (250) and the reference point (305) on the basis of the plurality of values of the degree of overlap.