PATENT CLAIM ANALYSIS

Application Number: 16014571
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["701", "002000"]

Abstract:
A method includes receiving location information for each of a plurality of autonomous vehicles in a zone, wherein the location information indicates locations of the autonomous vehicles in the zone, determining a mapping of locations of each of the autonomous vehicles in the zone based on the location information, and computing a set of coordinated movements for one or more of the autonomous vehicles based on the mapping.

Claim (Index 23):
A system comprising:\n one or more processors; and one or more computer-readable non-transitory storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the system to:\n receive, by a central computing device, location information for each of a plurality of autonomous vehicles in a zone, wherein the location information indicates locations of the autonomous vehicles in the zone; \n determine, by the central computing device, a mapping of locations of each of the autonomous vehicles in the zone based on the location information; and \n compute, by the central computing device, a set of coordinated movements for one or more of the autonomous vehicles based on the mapping.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.18182
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16014585', '16014675', '16014493', '16014711', '16014622']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4741773276665507
- 35 USC 102 Novelty (BERT): 0.5467785699494142
- Combined Prediction Score: 0.481437451894837
- Mean Citation Score: 388.76638
- Max Citation Score: 407.50403
- Similarity Product: 348.9543706326848

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

Dataset: test