PATENT CLAIM ANALYSIS

Application Number: 16014078
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-03
Patent Classification: ["701", "301000"]

Abstract:
An object recognition method and apparatus are provided. The object recognition apparatus acquires localization information of a vehicle, acquires object information about an object located in front of the vehicle, determines a candidate region in which the object is predicted to exist in an image in front of the vehicle, based on the localization information and the object information, and recognizes the object in the image based on the candidate region.

Claim (Index 23):
An object recognition apparatus comprising:\n a sensor configured to capture an image in front of a vehicle; a head-up display (HUD); a memory configured to store landmark map information; and a processor configured to\n acquire localization information of a vehicle; \n determine, from landmark map information, object information about an object located in front of the vehicle; \n determine a candidate region for the object in the image, based on the localization information and the object information; and \n recognize the object in the image based on the candidate region, in response to a classification probability of the object being greater than a threshold, and \n output the object through the HUD.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 94.0
- Lexical Diversity: 2.2
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15323922', '15790199', '15560267', '15158742', '15121284']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4195371872866003
- 35 USC 102 Novelty (BERT): 0.4603646475130327
- Combined Prediction Score: 0.4236199333092436
- Mean Citation Score: 155.814126
- Max Citation Score: 159.8137
- Similarity Product: 122.91926244513986

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

Dataset: test