GPS Drift Optimization for Vehicle-Mounted Machines
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current GPS drift point optimization techniques are complex, require high computational resources, and have slow calculational speeds, making them unsuitable for real-time positioning in transportation vehicles like buses.
Innovation Solution
A drift optimization system for vehicle-mounted machines using a GPS, comprising a vehicular sensor, camera unit, GPS receiver, memory, and processor, which acquires environmental and vehicle parameters, classifies GPS positions, and optimizes the secure GPS point set to construct a motion trajectory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional GPS drift point optimization techniques are used, then positioning accuracy can be improved, but computational complexity increases and real-time performance deteriorates
Solution Approach 1:
The patent segments GPS positions into three categories (secure, high precision, abnormal) based on classification criteria, and processes them differently. This segmentation allows the system to focus computational resources on correcting abnormal positions while efficiently handling secure positions, thereby reducing overall computational complexity while maintaining positioning accuracy.
Solution Approach 2:
The patent changes the parameter of GPS point processing by introducing a classification mechanism that assigns different weights and processing methods to different types of GPS points. By parameterizing the treatment of GPS points based on their reliability classification, the system achieves both accuracy improvement and computational efficiency.
2Measurement precision
If traditional GPS drift point optimization techniques are used, then positioning accuracy can be improved, but calculation speed decreases
Solution Approach 1:
The patent performs preliminary classification of GPS positions into secure, high precision, and abnormal categories before applying optimization algorithms. This preliminary action allows the system to pre-identify which points require intensive processing and which can be handled quickly, thereby improving calculation speed while maintaining accuracy.
Solution Approach 2:
The patent applies full optimization processing only to abnormal GPS points identified through classification, while using simpler processing for secure and high precision points. This partial action approach ensures that computational efforts are concentrated where most needed, improving overall calculation speed without sacrificing positioning accuracy.
3Measurement precision
If traditional GPS drift point optimization techniques are used, then positioning accuracy can be improved, but the system becomes unsuitable for real-time positioning in transportation vehicles
Solution Approach 1:
The patent implements a dynamic processing approach where GPS points are classified and processed in real-time based on their characteristics. The system dynamically adjusts the processing intensity for different GPS points, enabling real-time positioning performance suitable for transportation vehicles while maintaining high accuracy through selective optimization of abnormal points.
Solution Approach 2:
The system performs self-service by automatically classifying GPS points and determining the appropriate processing level for each point without external intervention. This self-service mechanism enables real-time decision-making and processing, making the system suitable for dynamic environments like transportation vehicles where rapid response is critical.
Data Source
AI summary
Embodiments of the present disclosure provide a drift optimization system for a vehicle-mounted machine based on a global positioning system (GPS). The system comprises a vehicular sensor, a camera unit, a GPS receiver, a memory, and a processor of a current vehicle. The processor is configured to set a datum point; determine a classification result of a GPS position by judging each GPS position in a GPS position sequence acquired from a GPS receiver during a preset time period; send a first command in response to the GPS position being a secure GPS position; and reset the datum point in response to the GPS position being an abnormal GPS position and first N1-1 GPS positions prior to the GPS position in the GPS position sequence being abnormal GPS positions.