PATENT CLAIM ANALYSIS

Application Number: 16176529
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-06
Patent Classification: ["701", "023000"]

Abstract:
A method for configuring a perception component of a vehicle having one or more sensors includes generating a first set of training data that includes first sensor data corresponding to a first setting of one or more sensor parameters, and an indicator of the first setting. The method also includes generating a second set of training data that includes second sensor data corresponding to a second setting of the sensor parameter(s), and an indicator of the second setting. The method further includes training the perception component, at least by training a machine learning based model using the first and second training data sets. The trained perception component is configured to generate signals descriptive of a current state of the vehicle environment by processing sensor data generated by the sensor(s), and one or more indicators indicating which setting of the sensor parameter(s) corresponds to which portions of the generated sensor data.

Claim (Index 4):
The method of  claim 3 , wherein the one or more sensors include one or more lidar devices.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.56923
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16176624', '16176473', '16176649', '16176607', '16149219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5082602663859246
- 35 USC 102 Novelty (BERT): 0.5091636070854056
- Combined Prediction Score: 0.5083506004558728
- Mean Citation Score: 276.77317600000003
- Max Citation Score: 302.04968
- Similarity Product: 233.0784408541632

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