PATENT CLAIM ANALYSIS

Application Number: 16188114
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["701", "027000"]

Abstract:
A framework for safely operating autonomous machinery, such as vehicles and other heavy equipment, in an in-field or off-road environment, includes detecting, identifying, classifying and tracking objects and/or terrain characteristics from on-board sensors that capture images in front and around the autonomous machinery as it performs agricultural or other activities. The framework generates commands for navigational control of the autonomous machinery in response to perceived objects and terrain impacting safe operation. The framework processes image data and range data in multiple fields of view around the autonomous equipment to discern objects and terrain, and applies artificial intelligence techniques in one or more neural networks to accurately interpret this data for enabling such safe operation.

Claim (Index 11):
A system, comprising:\n a computing environment including at least one non-transitory computer-readable storage medium having program instructions stored therein and a computer processor operable to execute the program instructions within one or more data processing modules configured to recognize one or more of objects and terrain characteristics around the autonomous off-road machinery, the one or more data processing modules including: a data collection component configured to initialize input data collected from a plurality of sensors mounted on autonomous agricultural machinery, the plurality of sensors including a ranging system, and a plurality of cameras configured to capture images, in multiple fields of view from the autonomous off-road machinery; an image and wave processing component configured to analyze one or more attributes of pixels in images captured by the plurality of cameras, and analyzing one or more attributes captured from signals reflected from waves communicated by the ranging system, to detect both a presence and a location of the one or more of objects and terrain characteristics in the multiple fields of view; an artificial intelligence component configured to identify and classify the one or more of objects and terrain characteristics in the multiple fields of view, by matching image characteristics that resemble one or more of pixel shapes, pixel colors, pixel brightness, pixel edges, and pixel groupings used to train the one or more neural networks, and estimate a trajectory of an object identified and classified to determine one or more of distance, direction, and velocity of the objects, by matching spatial attributes that are similar to characteristics of objects used to train the one or more neural networks; an output data component configured to calculate a drivable pathway in response to the presence of the one or more of objects and terrain characteristics in the multiple fields of view; and a navigational control component configured to generate one or more instructions in response to the drivable pathway

Metadata:
- Claim Count in Document: 68.0
- Percentile: 98.0
- Lexical Diversity: 1.61842
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12532329', '14548421', '15354526', '14994485', '15585002']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3687913428259032
- 35 USC 102 Novelty (BERT): 0.4597155215129994
- Combined Prediction Score: 0.3778837606946128
- Mean Citation Score: 126.3181832
- Max Citation Score: 132.39383
- Similarity Product: 96.6573546429342

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