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 21):
A method for ensuring safe operation of autonomous off-road machinery, comprising:\n analyzing 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; analyzing 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; matching image characteristics that resemble one or more of pixel shapes, pixel colors, pixel brightness, pixel edges, and pixel groupings in one or more trained neural networks to identify and classify the one or more of objects and terrain characteristics in the multiple fields of view; matching spatial attributes that are similar to characteristics of objects used to train the one or more neural networks to calculate a trajectory of the object identified and classified by the trained one or more neural networks from one or more of distance, direction, and velocity of the objects; calculating a drivable pathway in response to the presence of the one or more of objects and terrain characteristics in the multiple fields of view; determining a change in an operational state of the autonomous off-road machinery to accommodate the drivable pathway; and controlling navigation of the autonomous off-road machinery in a field in response to the drivable pathway and to effect the change in operational state, by generating commands to perform one or more of steering, stopping, braking, increasing speed, decreasing speed, selecting one or more gears, shifting the one or more gears, and selecting an operational mode of the autonomous off-road machinery.

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): 0.3703083765336306
- 35 USC 102 Novelty (BERT): 0.4537701572616673
- Combined Prediction Score: 0.3786545546064343
- Mean Citation Score: 126.3181832
- Max Citation Score: 132.39383
- Similarity Product: 100.91931260316552

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