PATENT CLAIM ANALYSIS

Application Number: 16149225
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["701", "026000"]

Abstract:
A computer-readable medium stores instructions executable by one or more processors to implement a self-driving control architecture for controlling an autonomous vehicle. A perception component receives sensor data and generates signals descriptive of a current state of the environment. Based on those signals, a prediction component generates signals descriptive of one or more predicted future environment states. A motion planner generates decisions for maneuvering the vehicle toward a destination, at least by using the signals descriptive of the current and future environment states to set values of one or more independent variables in an objective equation. The objective equation includes terms corresponding to different driving objectives over a finite time horizon. Values of one or more dependent variables in the objective equation are determined by solving the equation subject to a set of constraints, and values of the dependent variables are used to generate decisions for maneuvering the vehicle.

Claim (Index 24):
The method of  claim 21 , wherein each of the plurality of terms includes a respective weighting coefficient, and wherein the method further comprises:\n dynamically adjusting the weighting coefficients of one or more of the plurality of terms.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 97.0
- Lexical Diversity: 1.95062
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16149219', '16149223', '16138427', '16138582', '15906529']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5345868595907504
- 35 USC 102 Novelty (BERT): 0.5474499885257444
- Combined Prediction Score: 0.5358731724842498
- Mean Citation Score: 364.38208
- Max Citation Score: 519.7576
- Similarity Product: 259.9763559164524

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

Dataset: test