PATENT CLAIM ANALYSIS

Application Number: 16031702
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["701", "027000"]

Abstract:
A vehicle controller receives sensor outputs and identifies features in the sensor outputs. The controller determines a trajectory based on the features and generates control signals to vehicle actuators to follow the trajectory. Eccentricity of the control signals is evaluated and if it meets a threshold condition is met an intervention is performed such as discarding or modifying the control signal or initiating a safety procedure. Eccentricity may be determined using an unsupervised machine learning model. The threshold condition may be a dynamic threshold condition such as using the n-sigma approach or the Chebyshev inequality.

Claim (Index 16):
The vehicle of  claim 11 , wherein the controller is programmed to evaluate the eccentricity of the control outputs with respect to the threshold condition by inputting the control outputs into an unsupervised machine learning model to obtain an eccentricity metric.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 95.0
- Lexical Diversity: 1.69492
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15346210', '15433781', '15343726', '15363763', '15424309']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4180919139373482
- 35 USC 102 Novelty (BERT): 0.4538743535311859
- Combined Prediction Score: 0.421670157896732
- Mean Citation Score: 92.9888814
- Max Citation Score: 95.24044
- Similarity Product: 68.2917957053876

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test