3D Object Distance Measurement Using Multi-Sensor Fusion
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Solution Overview
Problem
Advanced driver assistance systems in vehicles display information in a two-dimensional manner, making it difficult for drivers to accurately judge distances and depths of objects, leading to increased driver attention and risk of accidents, especially during parking.
Innovation Solution
A method that combines 3D information from at least two images obtained by on-vehicle sensors to generate a shared 3D space, allowing for the identification and determination of object distances, and adjusts the surround view image to highlight critical objects, thereby enhancing driver safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 2D image display is used in driver assistance systems, then device complexity is reduced, but measurement precision of object distances and depths deteriorates
Solution Approach 1:
The patent transforms 2D image data into a 3D shared space representation by combining multiple images from different sensors (camera, radar, lidar) and performing 3D data mapping. This dimensional transformation enables accurate depth and distance measurement while utilizing existing sensor hardware, thus improving measurement precision without proportionally increasing device complexity.
2Measurement precision
If driver pays high attention to interpret 2D image presentation, then measurement precision of object distances improves, but reliability of driving safety deteriorates due to increased risk of accidents
Solution Approach 1:
The system performs automatic 3D object identification, distance measurement, and hazard detection without requiring driver intervention. The device independently processes multiple sensor inputs, generates a shared 3D space, identifies objects, determines their distances, and alerts the driver only when hazards are detected, thereby eliminating the need for driver attention to interpret 2D images while maintaining high measurement precision and improving safety reliability.
3Measurement precision
If multiple sensor devices are combined to generate 3D information, then measurement precision of object distances improves, but device complexity increases
Solution Approach 1:
The patent makes existing multi-functional vehicle sensors (camera, radar, lidar) work together for 3D object recognition. By performing data fusion and 3D mapping of objects detected by multiple sensors, the system achieves accurate 3D measurement precision while utilizing hardware already present in modern vehicles, thus minimizing the increase in device complexity.
Data Source
AI summary
A method for obtaining 3D information of objects shown in at least two images obtained by at least two on-vehicle sensors, a device for carrying out the respective steps of the method, a system including such a device, and a vehicle including such a device or such a system are described.