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 16):
The computer-implemented method of  claim 1 , wherein:\n the selected points comprise:\n a first point and a second point which are part of a first scan line that traverses the environment in a first direction; and \n a third point and a fourth point which are part of a second scan line that traverses the environment in a second direction opposite the first direction; and \n the method further comprises:\n calculating, by the one or more processors, a first relative velocity based on a difference between the depth data associated with the first and second points and a difference in time between when the depth data for the first and second points were captured; and \n calculating, by the one or more processors, a second relative velocity based on a difference between the depth data associated with the third and fourth points and a difference in time between when the depth data for the third and fourth points were captured.

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): 0.6064222494208185
- 35 USC 102 Novelty (BERT): 0.5120241911908873
- Combined Prediction Score: 0.5969824435978254
- Mean Citation Score: 284.922436
- Max Citation Score: 324.75793
- Similarity Product: 250.4824097114539

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