PATENT CLAIM ANALYSIS

Application Number: 16434000
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["701", "028000"]

Abstract:
A system and method for providing safety for a motorized mobile system (MMS) are optimized for accurate object detection, the method comprising generating one or more of a range measurement and a bearing measurement to an object using at least two sensors, wherein the range and bearing measurements have associated uncertainties.

Claim (Index 1):
A method for a motorized mobile system (MMS) comprising:\n generate first sensor data about an object from a first sensor, wherein the first sensor data about the object comprises a first range measurement to the object and a first bearing measurement to the object, the first range measurement has an associated first uncertainty, and the first bearing measurement has an associated second uncertainty; generate second sensor data about the object from a second sensor, wherein the second sensor data about the object comprises a second range measurement to the object and a second bearing measurement to the object, the second range measurement has an associated third uncertainty, and the second bearing measurement has an associated fourth uncertainty; select, by a processor, a lower range uncertainty between the first uncertainty and the third uncertainty; select, by the processor, a lower bearing uncertainty between the second uncertainty and the fourth uncertainty; and combine, by the processor, the bearing measurement associated with the selected lower bearing uncertainty and the range measurement associated with the selected lower range uncertainty as a location of the object within a reduced area of uncertainty.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 100.0
- Lexical Diversity: 1.33333
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15880699', '16433989', '10639242', '12428358', '14160299']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4123859758268234
- 35 USC 102 Novelty (BERT): 0.5529997060425189
- Combined Prediction Score: 0.4264473488483929
- Mean Citation Score: 238.809042
- Max Citation Score: 417.54654
- Similarity Product: 380.1738059315371

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