PATENT CLAIM ANALYSIS

Application Number: 16100700
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["701", "031500"]

Abstract:
The present disclosure relates to an autonomous vehicle and methods of operating an autonomous vehicle. A sensor for the autonomous vehicle generates sensor data for a current location of the autonomous vehicle. A positioning system generates data for identifying the current location of the vehicle. A computing system of the autonomous vehicle identifies a portion of a roadway model which corresponds to the current location of the vehicle. The roadway model has a level of detail suitable for autonomous operation. The computing system identifies whether a discrepancy is present between the identified portion of the roadway model and the sensor data. When the computing system identifies the discrepancy, the computing system communicates data which corresponds to the discrepancy to a roadway model management system configured to update the roadway model.

Claim (Index 18):
The method of  claim 17 , wherein the roadway model includes a lateral elevation profile, which is usable for determining an offset from a roadway centerline, and wherein identifying the features in the environment based on the sensed data comprises:\n identifying range data from a ranging sensor to determine an actual lateral elevation profile.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 96.0
- Lexical Diversity: 2.875
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14589616', '15228562', '15802116', '14790706', '15048379']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4704069695227286
- 35 USC 102 Novelty (BERT): 0.5123322817946456
- Combined Prediction Score: 0.4745995007499203
- Mean Citation Score: 230.594962
- Max Citation Score: 299.1382
- Similarity Product: 202.534904360342

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