PATENT CLAIM ANALYSIS

Application Number: 15883026
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["340", "905000"]

Abstract:
An information processing apparatus obtains, from a right/left-turn vehicle, first obtaining information for providing an instruction to sense a blind-spot area of the right/left-turn vehicle, and determines whether to sense the blind-spot area on the basis of the first obtaining information. The information processing apparatus further obtains second obtaining information for determining a blind-spot area of the right/left-turn vehicle that is determined to be sensed, and generates first control information for controlling sensing of the blind-spot area determined from the obtained second obtaining information. Then, information processing apparatus outputs the first control information to a sensor or a first device, and outputs a sensing result received from the sensor or the first device to a second device or outputs to the first device the first control information and information for providing an instruction to output the sensing result to the second device.

Claim (Index 13):
The apparatus according to  claim 7 , wherein the generating generates the travel assistance information to allow the vehicle to turn right or left when the result of sensing the blind-spot indicates no object in the blind-spot area.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 86.0
- Lexical Diversity: 3.02
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15504516', '15196835', '11454175', '14858401', '12908366']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7012773354110994
- 35 USC 102 Novelty (BERT): 0.5049034809698354
- Combined Prediction Score: 0.681639949966973
- Mean Citation Score: 204.623622
- Max Citation Score: 245.68646
- Similarity Product: 183.1382046920908

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