PATENT CLAIM ANALYSIS

Application Number: 15896669
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["340", "436000"]

Abstract:
Technical solutions are described for generating a pedestrian detection warning in a vehicle. An example method includes constructing, by a vehicle controller, a pedestrian zone based on pedestrian information that is received from a traffic controller. The method further includes computing, by the vehicle controller, a vehicle trajectory that predicts a path for the vehicle. The method further includes determining, by the vehicle controller, a minimal distance between the pedestrian zone and the vehicle trajectory. The method further includes predicting, by the vehicle controller, a time to collision by computing a time for the vehicle to reach a location corresponding to the minimal distance along the vehicle trajectory. The method further includes in response to the time to collision being below a threshold, generating, by the vehicle controller, a warning for an operator of the vehicle.

Claim (Index 10):
The method of  claim 7 , wherein the intersection familiarity is computed as F = Ref_Num \ue89e _Visits Ref_Num \ue89e _Visits - Num_Visits , where Num_Visits is a number of times the vehicle has passed the intersection in a predetermined duration, and Ref_Num_Visits is a predetermined parameter.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 2.68421
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13455719', '14924585', '15470627', '15448432', '15070977']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6526028018002098
- 35 USC 102 Novelty (BERT): 0.5206132632529357
- Combined Prediction Score: 0.6394038479454824
- Mean Citation Score: 203.944574
- Max Citation Score: 207.58792
- Similarity Product: 121.54566000534534

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