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 24):
The system of  claim 22 , wherein to calculate the relative velocity, the computing system is configured to:\n approximate the two-dimensional surface of the object in a vicinity of the selected points with a two-dimensional plane; and fit the selected points to an equation of the two-dimensional plane moving in space with the relative velocity.

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): 0.6062555689041316
- 35 USC 102 Novelty (BERT): 0.5151209751240166
- Combined Prediction Score: 0.59714210952612
- Mean Citation Score: 284.922436
- Max Citation Score: 324.75793
- Similarity Product: 223.00904006874973

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