PATENT CLAIM ANALYSIS

Application Number: 15862757
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-05
Patent Classification: ["701", "023000"]

Abstract:
Systems and methods are directed to lane change control for an autonomous vehicle. In one example, a computer-implemented method for determining whether to abort a lane change in an autonomous vehicle includes initiating, by a computing system comprising one or more computing devices, a lane change procedure for an autonomous vehicle. The method further includes obtaining, by the computing system, data indicative of one or more changed objects relative to the autonomous vehicle. The method further includes determining, by the computing system, that the lane change procedure cannot be completed by the autonomous vehicle based at least in part on the data indicative of one or more changed objects. The method further includes in response to determining that the lane change cannot be completed by the autonomous vehicle, generating, by the computing system, a motion plan that controls the autonomous vehicle to abort the lane change procedure.

Claim (Index 12):
The computing system of  claim 8 , wherein the one or more thresholds comprise one or more of:\n a distance to a leading vehicle in a target lane of the lane change procedure; or a distance to a trailing vehicle in the target lane of the lane change procedure.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 86.0
- Lexical Diversity: 2.73333
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15423233', '15858044', '15650004', '15638739', '15652654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4723902037351747
- 35 USC 102 Novelty (BERT): 0.4920184781190795
- Combined Prediction Score: 0.4743530311735652
- Mean Citation Score: 207.12688000000003
- Max Citation Score: 218.76958
- Similarity Product: 147.76506302476884

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