PATENT CLAIM ANALYSIS

Application Number: 15939192
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["701", "027000"]

Abstract:
A temporal prediction model for semantic intent understanding is described. An agent (e.g., a moving object) in an environment can be detected in sensor data collected from sensors on a vehicle. Computing device(s) associated with the vehicle can determine, based partly on the sensor data, attribute(s) of the agent (e.g., classification, position, velocity, etc.), and can generate, based partly on the attribute(s) and a temporal prediction model, semantic intent(s) of the agent (e.g., crossing a road, staying straight, etc.), which can correspond to candidate trajectory(s) of the agent. The candidate trajectory(s) can be associated with weight(s) representing likelihood(s) that the agent will perform respective intent(s). The computing device(s) can use one (or more) of the candidate trajectory(s) to determine a vehicle trajectory along which a vehicle is to drive.

Claim (Index 1):
A system associated with predicting an intent of an object in an environment proximate an autonomous vehicle, the system comprising:\n one or more sensors, wherein the one or more sensors on the autonomous vehicle; one or more processors; and one or more non-transitory computer-readable media storing instructions executable by the one or more processors, wherein the instructions, when executed, cause the one or more processors to perform actions comprising:\n receiving sensor data from the one or more sensors; \n detecting, based at least in part on a portion of the sensor data, the object in the environment; \n determining, based at least in part on the sensor data, an attribute of the object, the attribute comprising a classification distribution of the object, a position of the object, an orientation of the object, or a velocity of the object; \n generating, based at least in part on the attribute and using a machine learned model, a set of intents; \n associating, based at least in part on the attribute, one or more weights with a subset of intents, the subset of intents corresponding to a subset of candidate trajectories; \n determining a weight associated with a candidate trajectory of the subset of candidate trajectories meets or exceeds a threshold, the candidate trajectory corresponding to the intent; and \n determining a vehicle trajectory along which the autonomous vehicle is to drive based at least in part on the intent of the object.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.58108
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14933602', '13972911', '15632147', '14756992', '15078143']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.408768477927981
- 35 USC 102 Novelty (BERT): 0.4381186709035237
- Combined Prediction Score: 0.4117034972255352
- Mean Citation Score: 138.83069
- Max Citation Score: 145.142
- Similarity Product: 126.5370197312832

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