Vehicle Object-Detection Sensor Calibration via Marker Detection
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Solution Overview
Problem
Conventional object-detection systems for vehicles face challenges in efficiently addressing and associating object-detection sensors with unique identifiers and positions, often requiring manual configuration and sensitive measurements of line voltage or impedance, leading to increased complexity and error.
Innovation Solution
A processing module that determines the position of object-detection sensors relative to a vehicle by detecting a marker, allowing for automatic association of sensors with positions and reassignment of identifiers, enabling plug-and-play functionality without the need for manual configuration or sensitive impedance measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration and sensitive measurements of line voltage or impedance are used to address object-detection sensors, then unique identifiers and positions can be assigned, but the system complexity increases and error rate increases
Solution Approach 1:
The patent replaces manual configuration procedures and sensitive electrical measurements (voltage/impedance) with an optical marker detection system. The processing module uses object-detection sensors to detect a visual marker and automatically determine sensor positions and assign identifiers, eliminating the need for manual intervention and sensitive electrical measurements, thereby reducing both complexity and error rate
Solution Approach 2:
The system enables automatic self-calibration where the object-detection sensors themselves perform the identification and positioning function by detecting the marker. The processing module automatically associates each sensor with a unique identifier and position based on marker detection values, allowing the system to configure itself without external manual intervention or complex measurement equipment
2Productivity
If manual configuration is used to associate object-detection sensors with positions, then sensors can be addressed, but the calibration time and labor increase
Solution Approach 1:
The patent implements a pre-configured marker with known position information that enables automatic calibration. The marker is placed in advance at a known location, and the processing module uses the marker detection values from multiple sensors to automatically calculate and assign positions, eliminating the need for time-consuming manual configuration procedures
Solution Approach 2:
The system replaces manual configuration procedures with automated optical detection. The processing module automatically determines sensor positions and assigns identifiers based on marker detection data, significantly reducing both the time and labor required for calibration while improving productivity
3Adaptability or versatility
If interchangeable sensors with identical hardware are used, then system flexibility improves, but the ability to identify and position individual sensors becomes difficult
Solution Approach 1:
The patent introduces a marker as an intermediary object that carries position information. When interchangeable sensors detect the marker, the processing module uses the detection values to automatically determine which sensor is at which position, thereby preserving identification information without requiring unique hardware features on each sensor. This enables full sensor interchangeability while maintaining accurate position assignment
Solution Approach 2:
The system uses feedback from marker detection to automatically assign identifiers and positions to interchangeable sensors. The processing module receives detection values from each sensor, processes this information to determine sensor locations, and assigns unique identifiers accordingly, allowing any sensor to be placed in any position while maintaining system awareness of each sensor's location
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for efficient and error-free association of object-detection sensors with positions, reducing circuit complexity and enabling the use of interchangeable sensors without manual configuration, thereby improving the efficiency and reliability of the object-detection system.
Implementation Method 1
each object-detection sensor configured to detect a marker in the calibration mode
Data Source
AI summary
The disclosure relates to a processing module and associated method for calibrating an object-detection system for a vehicle comprising a plurality of object-detection sensors. The method comprises receiving, from each of a plurality of the object-detection sensors, a value associated with the detection of a marker; and determining a position of each of the object-detection sensors with respect to the vehicle based on the received values associated with the detection of the marker.