PATENT CLAIM ANALYSIS

Application Number: 16184680
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["382", "103000"]

Abstract:
A system for detecting and identifying foliage includes a tracking component, a tracking parameters component, and a classification component. The tracking component is configured to detect and track one or more features within range data from one or more sensors. The tracking parameters component is configured to determine tracking parameters for each of the one or more features. The tracking parameters include a tracking age and one or more of a detection consistency and a position variability. The classification component is configured to classify a feature of the one or more features as corresponding to foliage based on the tracking parameters.

Claim (Index 10):
A system comprising:\n a tracking component configured to detect a data object within range data captured by one or more sensors; a tracking parameters component configured to track the data object over time to determine a tracking parameter for the data object, wherein the tracking parameter comprises one or more of: a position variability, a detection consistency, or a tracking age; and a classification component configured to classify the data object as corresponding to foliage or non-foliage based on the tracking parameter.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.34783
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15353640', '14887031', '14204384', '14713452', '15414383']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2539879692946584
- 35 USC 102 Novelty (BERT): 0.526169411061132
- Combined Prediction Score: 0.2812061134713057
- Mean Citation Score: 158.289467
- Max Citation Score: 326.66953
- Similarity Product: 257.744762676034

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

Dataset: test