Trajectory-Based Sensor Capture Using Zones of Interest
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Solution Overview
Problem
Existing data acquisition methods for moving vehicles face challenges with contradictory data, exposure issues, and high processing times, particularly when dealing with images taken near tunnels or in adverse weather conditions.
Innovation Solution
The method involves an electronic acquisition module with a database defining subsections of interest along a predefined trajectory. This module determines the next vehicle position and adjusts image capture and processing parameters in real-time based on the subsection of interest, optimizing data acquisition and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is captured by sensors embedded in a moving vehicle following a predefined trajectory, then comprehensive environmental data is acquired, but processing time and computing resources increase significantly
Solution Approach 1:
The patent divides the image capture area into multiple zones of interest (ZOI) corresponding to different trajectory points. Instead of processing all captured data uniformly, the system segments the data processing task by identifying and prioritizing only the relevant ZOI portions that contain useful information for the vehicle's trajectory and operational context.
Solution Approach 2:
The patent extracts and processes only the essential portions of captured data that are relevant to the vehicle's trajectory and operational needs. By identifying zones of interest and extracting only those portions for detailed processing, the system eliminates unnecessary data processing while maintaining reliability for trajectory-following applications.
2Measurement precision
If all captured data is processed uniformly, then comprehensive analysis is performed, but processing resources and time are wasted on irrelevant data portions
Solution Approach 1:
The patent applies different processing quality levels to different zones of interest based on their relevance to the vehicle's trajectory. High-priority ZOI areas receive detailed processing with higher measurement precision, while lower-priority areas receive simplified processing. This local differentiation maintains accuracy where needed while improving overall processing efficiency.
3Adaptability or versatility
If sensor parameters are optimized for all possible conditions, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent pre-defines multiple sets of sensor parameters corresponding to different zones of interest and environmental conditions. Before data capture, the system determines the relevant ZOI based on the vehicle's trajectory and pre-configures the appropriate sensor parameters for those zones. This preliminary preparation enables rapid parameter switching without real-time complex calculations, maintaining adaptability while reducing operational complexity.
Data Source
AI summary
A method for acquiring data, in an electronic acquisition module, detected by a sensor embedded on a vehicle with a predefined trajectory, including the following operations implemented in real time by an electronic acquisition module including a database defining, for each of a plurality of points of the predefined trajectory, a set of subsections of interest indicating at least one subsection of interest in the acquisition zone of the sensor: determining a next position of the moving vehicle on the predefined trajectory of the moving vehicle, and determining, as a function of at least the subsection of interest defined by the database for the point corresponding to the determined position, the value of a parameter included among acquisition of the data by the embedded sensor in the next position, or a processing parameter of the data captured by the embedded sensor in the next position.