PATENT CLAIM ANALYSIS

Application Number: 15906529
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["345", "420000"]

Abstract:
Techniques for identifying and labeling distinct objects within  3 -D images of environments in which vehicles operate, to thereby generate training data used to train models that autonomously control and/or operate vehicles, are disclosed. A  3 -D image may be presented from various perspective views (in some cases, dynamically), and/or may be presented with a corresponding  2 -D environment image in a side-by-side and/or a layered manner, thereby allowing a user to more accurately identify groups/clusters of data points within the  3 -D image that represent distinct objects. Automatic identification/delineation of various types of objects depicted within  3 -D images, automatic labeling of identified/delineated objects, and automatic tracking of objects across various frames of a  3 -D video are disclosed. A user may modify and/or refine any automatically generated information. Further, at least some of the techniques described herein are equally applicable to  2 -D images.

Claim (Index 18):
The computer-implemented method of  claim 17 , wherein the one or more active sensing devices or systems include one or more light detection and ranging (LIDAR) devices.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 88.0
- Lexical Diversity: 1.82955
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15906443', '15906676', '15906141', '15906610', '15692180']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.716456802187183
- 35 USC 102 Novelty (BERT): 0.520514997450318
- Combined Prediction Score: 0.6968626217134964
- Mean Citation Score: 292.17445
- Max Citation Score: 327.44516
- Similarity Product: 242.78052896228309

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

Dataset: test