PATENT CLAIM ANALYSIS

Application Number: 16058063
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-01
Patent Classification: ["701", "023000"]

Abstract:
The present invention provides a BeiDou-based grid augmentation autonomous driving multi-level warning system comprising a Beidou Satellite Ground-based Augmentation system, user terminals and a Vehicles internet system, wherein the Beidou Satellite Ground-based Augmentation system comprises Beidou grid reference stations, a data processing system and a data broadcast system; the user terminal comprises an in-vehicle receiver and a calculating chips. The present invention can reduce the occurrence of traffic accidents and reduce the loss of life and property.

Claim (Index 1):
A BeiDou-based grid augmentation autonomous driving multi-level warning system comprising a Beidou Satellite Ground-based Augmentation system, user terminals and a Vehicles internet system, wherein the Beidou Satellite Ground-based Augmentation system comprises Beidou grid reference stations, a data processing system and a data broadcast system; the user terminal comprises an in-vehicle receiver and a calculating chip; wherein the BeiDou-based grid augmentation autonomous driving multi-level warning system is running with the following steps:\n gridding the land of mainland China and installing a BeiDou high-precision satellite navigation receiver as a Beidou grid reference station at each grid node; the Beidou grid reference stations receiving the guiding signals from Beidou satellites or other satellites, inputting such signals into the data processing system to produce differential data, and the data broadcast system broadcasting said differential data to the in-vehicle receivers; an in-vehicle receiver receiving satellite navigation signals from BeiDou and other constellations, performing dual pseudorange smoothing filtering at different times according to complexity of an ambient environment, and obtaining a corrected pseudorange; an in-vehicle receiver also receiving the differential data from the BDS Ground-Based Augmentation System and determining an integrated positioning error, wherein in the process of calculating the error, the calculating chip of the user terminal comprehensively calculates a \u03c3 value including environmental complexity by using the numbers and relative distances of automobiles and pedestrians currently within the predetermined range obtained from the Vehicles internet system; the calculating chip of the user terminal calculating its protection level, wherein a speed factor is introduced in the process of calculating the protection level; and determining multiple levels of warning limits, and sending a corresponding warning when the protection level exceeds a corresponding warning limit; wherein the Vehicles internet system makes statistics about the numbers of automobiles and pedestrians within a circular range having a diameter of r and their relative distances to the local vehicle, calculates an average error by means of distance weighting, and finally outputs the \u03c3 value including environmental complexity; wherein a pseudorange positioning uncertainty of the vehicle is defined as comprising total fault-free noise of four reference stations of the grid node, a tropospheric residual, ionospheric delay uncertainty, a receiver error, and an environmental complexity uncertainty; and wherein a total error of a pseudorange domain is defined as:\n \u03c3 i 2 =\u03c3 station,i 2 +\u03c3 tropo,i 2 +\u03c3 iono,i 2 +\u03c3 air,i 2 +\u03c3 envir 2 ; \n wherein \u03c3 station,i 2  is total fault-free noise of an i th  satellite to the four reference stations, \u03c3 tropo,i 2  is a comprehensive tropospheric residual of the four reference stations to the i th  satellite, \u03c3 iono,i 2  is a comprehensive ionospheric delay uncertainty of the four reference stations to the i th  satellite, \u03c3 air,i 2  is a comprehensive receiver error of the four reference stations to the i th  satellite, and \u03c3 envir 2  is the environmental complexity uncertainty.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 96.0
- Lexical Diversity: 1.69388
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15788117', '14549382', '15342431', '12340119', '11506468']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4189040292600369
- 35 USC 102 Novelty (BERT): 0.4873864371363317
- Combined Prediction Score: 0.4257522700476664
- Mean Citation Score: 177.64099600000003
- Max Citation Score: 191.7433
- Similarity Product: 124.35199216288328

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test