Vehicle Spectrum Sensor Real-Time Object Discrimination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge is to develop a movable body spectrum measuring apparatus that can accurately discriminate objects in real-time using spectrum data from a vehicle-mounted spectrum sensor, as the vast amount of data from hyper-spectrum sensors reduces processing speed and limits real-time adequacy.
Innovation Solution
The apparatus employs a spectrum sensor to measure wavelength and light intensity information, with an arithmetic device comparing observation light data to stored dictionary data, focusing on partial wavelength bands and characteristic changes to reduce processing time and storage needs, while prioritizing data retention based on attribute-specific bright-line spectrums and environment information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hyper-spectrum sensor data is used for object discrimination, then measurement precision is improved, but processing time increases and real-time performance deteriorates
Solution Approach 1:
The spectrum data processing is divided into two stages: first, perform discrimination using a reduced wavelength band (e.g., only visible light region or specific characteristic bands), then if higher precision is needed, expand to full hyper-spectrum data. This segmentation allows real-time processing while maintaining the option for high-precision analysis when necessary.
Solution Approach 2:
The patent applies partial action by using only a portion of the available spectrum data (specific wavelength bands) for discrimination tasks. Instead of processing all hyper-spectrum data, the system selectively processes only the necessary wavelength regions, significantly reducing computational load while maintaining adequate discrimination accuracy for real-time applications.
2Measurement precision
If full spectrum data is stored and processed, then discrimination accuracy is improved, but device complexity and storage requirements increase
Solution Approach 1:
The patent extracts only the essential wavelength band information needed for discrimination, storing and processing merely the necessary portions of spectrum data. By taking out only the relevant characteristic bands rather than preserving complete hyper-spectrum data, the system reduces storage requirements and processing complexity while maintaining adequate discrimination capability.
Solution Approach 2:
The system performs partial action by processing only specific wavelength bands rather than complete spectrum data. This approach uses a subset of available information that is sufficient for the discrimination task, thereby reducing device complexity and storage requirements while maintaining practical discrimination accuracy.
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 enables real-time object discrimination on a vehicle, reducing computational load and storage requirements, enhancing the apparatus's adaptability for drive assistance systems by maintaining high accuracy and efficiency.
Implementation Method 1
a spectrum sensor 14A for measuring wavelength information and light intensity information
Data Source
AI summary
Provided is a movable body spectrum measuring apparatus, which can discriminate a measuring object with high precision by photographic data from a spectrum sensor mounted on a movable body such as a vehicle and can process the photographic data in real time. A movable body spectrum measuring apparatus discriminates the measuring object around a vehicle on the basis of the spectrum data from an observation light. A spectrum sensor can measure wavelength information and light intensity information. The movable body spectrum measuring apparatus comprises a dictionary data storing unit storing, as dictionary data, the spectrum data containing the wavelength information and the light intensity information regarding a plurality of predetermined measuring objects, and an arithmetic device for discriminating the measuring object on the basis of comparison computation to compare the spectrum data of the observation light and the spectrum data stored in the dictionary data storing unit. The arithmetic device performs the computation to compare the spectrum data of the observation light with reference to only a partial wavelength band of the spectrum data stored as the dictionary data.