PATENT CLAIM ANALYSIS

Application Number: 16176473
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-06
Patent Classification: ["356", "005010"]

Abstract:
A method for controlling at least a first vehicle sensor includes receiving sensor data generated by one or more vehicle sensors that are configured to sense an environment through which the vehicle is moving, and identifying, based on the received sensor data, one or more current and/or predicted positions of one or more dynamic objects that are currently moving, or are capable of movement, within the environment. The method also includes causing, based on the current and/or predicted positions of the dynamic objects, an area of focus of the first sensor to be adjusted, at least by causing (i) a field of regard of the first sensor, and/or (ii) a spatial distribution of scan lines produced by the first sensor, to be adjusted.

Claim (Index 22):
A non-transitory computer-readable medium storing thereon instructions executable by one or more processors to implement a sensor control architecture for controlling at least a first sensor of a vehicle, the sensor control architecture being configured to:\n receive sensor data generated by one or more sensors of the vehicle, wherein the one or more sensors are configured to sense an environment through which the vehicle is moving; identify, based on the received sensor data, one or more current and/or predicted positions of one or more dynamic objects that are currently moving, or are capable of movement, within the environment; and cause, based on the current and/or predicted positions of the dynamic objects, an area of focus of the first sensor to be adjusted, at least by causing (i) a field of regard of the first sensor, and/or (ii) a spatial distribution of scan lines produced by the first sensor, to be adjusted.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 97.0
- Lexical Diversity: 2.07463
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16176624', '16176607', '16176529', '16176649', '16149219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7482074022505489
- 35 USC 102 Novelty (BERT): 0.5231923772648243
- Combined Prediction Score: 0.7257058997519764
- Mean Citation Score: 273.07655400000004
- Max Citation Score: 348.82632
- Similarity Product: 309.7550316517067

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

Dataset: test