PATENT CLAIM ANALYSIS

Application Number: 16196650
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
A computer-implemented method of determining a relative velocity between a vehicle and an object. The method includes receiving sensor data generated by one or more sensors of the vehicle configured to sense an environment following a scan pattern. The method also includes obtaining, based on the sensor data, a point cloud frame. The point cloud frame comprises a plurality of points of depth data and a time at which the depth data was captured. Additionally, the method includes selecting two or more points of the scan pattern that overlap the object. The selected points are located on or near a two-dimensional surface corresponding to the object, and the depth data for two or more of the selected points are captured at different times. The method includes calculating the relative velocity between the vehicle and the object based on the depth data and capture times associated with the selected points.

Claim (Index 29):
The computer-implemented method of  claim 28 , wherein the selected points comprise four or more points and the four or more points are selected from two different scan lines, wherein at least two points are selected from each scan line.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 98.0
- Lexical Diversity: 2.31884
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16196641', '16196618', '16196632', '16176649', '14090308']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6060230805993403
- 35 USC 102 Novelty (BERT): 0.5194371856080794
- Combined Prediction Score: 0.5973644911002142
- Mean Citation Score: 284.922436
- Max Citation Score: 324.75793
- Similarity Product: 184.70035073434

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