Sensor Control Unit for Vehicle Object Detection
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Solution Overview
Problem
Existing vehicle monitoring systems face challenges in accurately detecting objects in non-overlapping detection areas of sensor devices, leading to incorrect recognition of objects as separate entities, which can result in misjudging passable areas for the vehicle.
Innovation Solution
A method that combines measurement points from multiple sensor devices to determine the relative position of surface areas, allowing for accurate assignment of non-overlapping areas to a single object, reducing data storage and preventing incorrect evaluation of passable areas by determining the distance between adjacent measurement points and using threshold values for object characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor devices are used to monitor surrounding areas, then object detection capability is improved, but blind areas in non-overlapping detection zones cause incorrect object recognition
Solution Approach 1:
The patent introduces an intermediary evaluation process that acts as a mediator between multiple sensor devices. This intermediary system evaluates measurement points from different sensors, determines their relative positions, and decides whether they belong to the same object or different objects, thereby resolving the information loss in blind areas without requiring direct sensor overlap
Solution Approach 2:
The patent adds a new dimension of evaluation by introducing relative position analysis and object assignment decisions. Instead of relying solely on spatial overlap of detection areas, the system evaluates measurement points in an additional dimensional space that includes their relational characteristics, allowing accurate object recognition even when traditional spatial overlap is absent
2Area of stationary object
If multiple sensor devices are deployed to eliminate blind areas, then coverage is improved, but data complexity and processing requirements increase
Solution Approach 1:
The patent segments the complex task of object detection into distinct evaluation steps: receiving measurement points, determining relative positions, evaluating object assignments, and combining surface areas. This segmentation allows the system to handle multiple sensor inputs systematically without overwhelming complexity, processing data in manageable stages rather than attempting simultaneous analysis of all sensor data
Solution Approach 2:
The patent performs preliminary evaluation of measurement points and their relative positions before final object recognition. By pre-processing and pre-evaluating the spatial relationships between measurement points from different sensors, the system reduces the complexity of subsequent object assignment and recognition tasks, making the overall system more manageable despite using multiple sensor devices
Data Source
AI summary
The invention relates to a method for monitoring a surrounding area (6) of a motor vehicle (1), wherein measurement points of surfaces of objects (7) in the surrounding area (6) detected by at least two sensor devices (4, 5) of the motor vehicle (1) are received, and wherein first measurement points of a first surface area (13) detected by a first sensor device (4) are received and second measurement points of a second surface area (14) with no overlap with the first surface area (13) detected by a second sensor device (5) are received, the first and second measurement points are used to determine a relative position of the surface areas (13, 14) with respect to each other, it is determined whether the surface areas (13, 14) are to be assigned to a single object (7) based on the relative position and, if so, the surface areas (13, 14) are combined into a total surface area (12) of the object (7). The invention also concerns a sensor control unit (9), a driver assistance system (2) and a motor vehicle (1).