PATENT CLAIM ANALYSIS

Application Number: 16060460
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["701", "301000"]

Abstract:
Methods, devices and apparatuses pertaining to U-turn assistance. The method may include receiving, by a computing device, vehicle information associated with a vehicle from a plurality of sensors that are placed on a plurality of locations of the vehicle and obtaining a length and a width of the vehicle based on the received vehicle information. The computing device may calculate a turning radius of the vehicle, and provide a recommendation for routing the vehicle based at least in part on the turning radius.

Claim (Index 11):
A system comprising:\n one or more processors; and memory to maintain a plurality of components executable by the one or more processors, the plurality of components comprising:\n a communication module configured to:\n receive vehicle information associated with a vehicle from a plurality of sensors that are placed on a plurality of locations of the vehicle, and \n obtain a length and a width of the vehicle based on the received vehicle information, \n \n a calculation module configured to calculating a turning radius of the vehicle, and \n a recommendation module configured to provide a recommendation for routing the vehicle based at least in part on the turning radius.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.83673
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15054676', '11479605', '11741660', '14529781', '15397022']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3964088852161845
- 35 USC 102 Novelty (BERT): 0.4602374264118198
- Combined Prediction Score: 0.402791739335748
- Mean Citation Score: 118.1895358
- Max Citation Score: 122.76503999999998
- Similarity Product: 87.2984665568161

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