17933895. GLOBAL POSITIONING SYSTEM BIAS DETECTION AND REDUCTION simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
- 1 GLOBAL POSITIONING SYSTEM BIAS DETECTION AND REDUCTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GLOBAL POSITIONING SYSTEM BIAS DETECTION AND REDUCTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
GLOBAL POSITIONING SYSTEM BIAS DETECTION AND REDUCTION
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Gui Chen of Sterling Heights MI (US)
Shu Chen of Rochester Hills MI (US)
Joon Hwang of Pflugerville TX (US)
Carl P. Darukhanavala of Royal Oak MI (US)
Vivek Vijaya Kumar of Shelby Township MI (US)
GLOBAL POSITIONING SYSTEM BIAS DETECTION AND REDUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17933895 titled 'GLOBAL POSITIONING SYSTEM BIAS DETECTION AND REDUCTION
Simplified Explanation
The patent application describes a system for detecting and reducing biases in GPS data collected from a large group of vehicles. By comparing newly collected data to existing statistical data, the system can correct for GPS biases and improve the accuracy of location information.
- GPS-bias detection and reduction system
- GPS-bias model based on statistical data from thousands of vehicles
- Comparison of new data to existing statistical data to update bias correction
- Map matching to determine road node and segment for bias calculation
- Quality indicator (EHPE) used to differentiate good and poor quality GPS data
Potential Applications
The technology could be applied in various industries such as transportation, logistics, and fleet management to improve the accuracy of location tracking and navigation systems.
Problems Solved
1. Inaccurate GPS data due to biases can lead to errors in navigation and tracking systems. 2. Large-scale collection and analysis of GPS data from multiple vehicles can be challenging without a systematic approach to bias detection and reduction.
Benefits
1. Improved accuracy of GPS data for better navigation and tracking. 2. Enhanced efficiency in fleet management and logistics operations. 3. Reduction of errors and potential safety risks associated with inaccurate location information.
Potential Commercial Applications
Optimizing GPS data accuracy in fleet management systems for improved route planning and vehicle tracking.
Possible Prior Art
One possible prior art could be the use of statistical models to analyze GPS data for bias detection and correction in navigation systems.
What are the limitations of the proposed system?
The proposed system relies on the quality of the GPS statistical data collected from the vehicle group. If the data is incomplete or inaccurate, it may affect the effectiveness of bias detection and reduction.
How scalable is the system for use with different sizes of vehicle groups?
The scalability of the system may depend on the computational resources available for processing and analyzing GPS data from large vehicle groups. Implementing the system for smaller vehicle groups may require adjustments to the data collection and analysis processes.
Original Abstract Submitted
A global positioning system (GPS)-bias detection and reduction system including a GPS-bias model having GPS statistical data creating a database representing data collected from a vehicle group having thousands or multiple thousands of vehicles saved in a database. At least one newly collected vehicle GPS data point is compared to the GPS statistical data to reduce negative effects of GPS-bias and to update the vehicle GPS-bias correction based on a previous GPS-bias model. A selected road node and a segment of a roadway have a map matching performed using a nearest service from a collection location of the GPS statistical data. A GPS-bias is calculated using a look-up of the database. An estimated horizontal position error (EHPE) defining a quality indicator is applied to distinguish a good quality GPS statistical data from a poor quality GPS statistical data.
