Position Estimation System Using Sensor Data Extraction
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Solution Overview
Problem
The existing position estimation systems using multiple distance sensors face challenges in accuracy due to data compression and limited computing resources, leading to decreased estimation precision and increased communication delays or equipment costs.
Innovation Solution
The system optimizes position estimation by having the position information server control the distance sensors to transmit only necessary data, specifying regions of interest around subjects and adjusting estimation methods based on feature recognition, thereby reducing data volume and leveraging the sensors' capabilities for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distance image data is transmitted from multiple distance sensors through the network to the position information server for aggregation and estimation, then position estimation can be performed using multiple sensors, but network bandwidth is consumed and data compression is applied which decreases position estimation accuracy
Solution Approach 1:
The patent extracts only the necessary position information from distance images at the sensor side before transmission. Instead of transmitting entire distance images or compressed versions, the system identifies and transmits only the position data of detected subjects, eliminating unnecessary data while preserving estimation accuracy.
Solution Approach 2:
The patent segments the position estimation process into two parts: position detection at the distance sensor side and position aggregation/estimation at the server side. This segmentation allows each component to perform its specialized function efficiently, with sensors focusing on detection and the server on aggregation, reducing network load while maintaining accuracy.
2Measurement precision
If distance image data is transmitted from multiple distance sensors to the position information server, then comprehensive position estimation can be achieved, but communication time and network bandwidth requirements increase
Solution Approach 1:
The patent extracts only essential position information from distance images before transmission. By identifying subjects in the distance images and extracting only their position coordinates rather than transmitting entire images or even compressed images, the communication time is dramatically reduced while the position estimation accuracy is maintained through aggregation of multiple sensors' position data.
3Measurement precision
If position estimation is performed using all distance sensors through the network, then comprehensive coverage is achieved, but equipment costs increase due to higher bandwidth requirements
Solution Approach 1:
The patent extracts only the necessary position information from distance images at the sensor side before transmission. Instead of transmitting entire distance images or compressed versions, the system identifies and transmits only the position data of detected subjects, eliminating unnecessary data while preserving estimation accuracy.
Data Source
AI summary
A position information server receives position information of a subject from a distance sensor, decides a position information generation process to be executed by the distance sensor on the basis of the received position information, and transmits instruction information related to the position information generation process to the distance sensor.