PATENT CLAIM ANALYSIS

Application Number: 15992315
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["701", "096000"]

Abstract:
A vehicle controller ( 100 ) includes: a recognizer ( 121 ) configured to recognize surrounding conditions of a vehicle on the basis of an output from an onboard sensor; and a speed determiner ( 123 A) configured to determine a target speed of the vehicle on the basis of a set speed based on a legal speed limit or a speed set by an occupant of the vehicle and recognition accuracy information indicating recognition accuracy in the recognizer and to determine the target speed of the vehicle to be lower than the set speed when the recognition accuracy indicated by the recognition accuracy information decreases.

Claim (Index 4):
A vehicle control method using a computer mounted in a host vehicle, comprising:\n recognizing surrounding conditions of a vehicle on the basis of an output from an onboard sensor; and determining a target speed of the vehicle on the basis of a set speed based on a legal speed limit or a speed set by an occupant of the vehicle and recognition accuracy information indicating accuracy of the recognition; and determining the target speed of the vehicle to be lower than the set speed when the recognition accuracy indicated by the recognition accuracy information decreases.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 93.0
- Lexical Diversity: 2.15686
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15587414', '10366516', '15535203', '10361558', '10639634']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4127424678187979
- 35 USC 102 Novelty (BERT): 0.4450139512061846
- Combined Prediction Score: 0.4159696161575366
- Mean Citation Score: 142.785252
- Max Citation Score: 154.28595
- Similarity Product: 131.52161187756658

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

Dataset: test