PATENT CLAIM ANALYSIS

Application Number: 16010295
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["701", "027000"]

Abstract:
A method for near-collision detection, including determining a risk map for a vehicle and automatically detecting a near-collision event with an object based on vehicle behavior relative to the risk map.

Claim (Index 1):
A method for near-collision analysis, comprising, at an on-board system mounted to a vehicle:\n recording an external video with an external-facing camera of the on-board system; determining obstacle parameters for an obstacle detected in the external video; generating a spatial risk map for the vehicle based on the obstacle parameters, the spatial risk map comprising a risk score for each of a plurality of spatial positions relative to the vehicle wherein the risk score is determined using:\n a parametric model comprising a set of Gaussian models; \n the obstacle parameters; and \n driver parameters extracted from an internal video recorded by an internal-facing camera of the on-board system; \n detecting a near-collision event when a risk score within the spatial risk map exceeds a risk threshold; labeling the near-collision event with a label determined based on the driver parameters; determining a cause of the near-collision event, comprising identifying an independent parameter of the parametric model with a highest weighted value; and transmitting the label to a remote computing system.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 94.0
- Lexical Diversity: 1.26923
- Patent Class: 701.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15892899', '15705043', '14881398', '14702150', '15331243']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4360107772853341
- 35 USC 102 Novelty (BERT): 0.5110270084062816
- Combined Prediction Score: 0.4435124003974289
- Mean Citation Score: 191.1877512
- Max Citation Score: 330.02994
- Similarity Product: 328.46142784066205

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

Dataset: test