PATENT CLAIM ANALYSIS

Application Number: 16004901
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["342", "070000"]

Abstract:
During a location technique, a sensor module in a vehicle, which has non-retractable wheels in contact with a driving surface, determines a location of the vehicle. In particular, the sensor module is positioned on or in a direction of a side-facing surface of the vehicle. Moreover, during operation, the sensor module may transmit radar signals approximately perpendicular to a direction of motion of the vehicle. Then, the sensor module may receive reflected radar signals. Furthermore, the sensor module may analyze a time sequence of the reflected radar signals. Next, the sensor module may determine the location of the vehicle based at least in part on the analyzed time sequence of reflected radar signals.

Claim (Index 16):
A method for generating a dataset, comprising:\n by an electronic device:\n transmitting, using a first subset of one or more sensors, radar signals approximately perpendicular to a direction of motion of a vehicle having one or more non-retractable wheels in contact with a surface, wherein the first subset of the one or more sensors has an associated angular resolution, and wherein approximately perpendicular is within the angular resolution of perpendicular to the direction of motion; \n receiving, using a second subset of the one or more sensors, reflected radar signals; \n analyzing a time sequence of the reflected radar signals; \n performing an additional electromagnetic or acoustic measurement in a different band of frequencies than the radar signals, wherein the additional electromagnetic or acoustic measurements comprise one of: optical imaging in a visible frequency band, an infrared measurement in an infrared frequency band, or a sonar measurement; \n identifying at least a stationary object using the analyzed time sequence of reflected radar signals and the additional electromagnetic or acoustic measurement as inputs to a machine-learning model, wherein at least the identified stationary object is man-made and has a corner or an edge, and wherein the identifying comprises classifying at least the stationary object; and \n determining a location of the vehicle based at least in part on at least the identified stationary object and a predefined map of stationary objects and associated predetermined locations, wherein the determining comprises calculating the location based at least on the predetermined location of at least the identified stationary object.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.37037
- Patent Class: 342.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16004876', '15677615', '13626673', '15790012', '14813429']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5347025697867362
- 35 USC 102 Novelty (BERT): 0.4880500823104346
- Combined Prediction Score: 0.5300373210391061
- Mean Citation Score: 173.566382
- Max Citation Score: 250.05165
- Similarity Product: 201.72053896343704

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

Dataset: test