PATENT CLAIM ANALYSIS

Application Number: 15905705
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "104000"]

Abstract:
A multi layer learning based control system and method for an autonomous vehicle or mobile robot. A mission planning layer, behavior planning layer and motion planning layer each having one or more neural neworks are used to develop an optimal route for the autonomous vehicle or mobile robot, provide a series of functional tasks associated with at least one or more of the neural networks to follow the planned optimal route and develop commands to implement the functional tasks.

Claim (Index 16):
The system of  claim 1  wherein the computer instructions cause the at least one processor to execute all of neural networks to implement the functional tasks associated with all the neural networks to control the at least one of the operable elements wherein the at least one operable element is one or more of a GPS unit, steering unit, a brake unit, or a throttle unit.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.66
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15614489', '10647034', '15224519', '12011982', '13281347']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3455752626159661
- 35 USC 102 Novelty (BERT): 0.4903093965547704
- Combined Prediction Score: 0.3600486760098466
- Mean Citation Score: 174.738948
- Max Citation Score: 184.20718
- Similarity Product: 122.0653030492544

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