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 5):
The method of  claim 4 , further comprising:\n determining a driver response to the near-collision event from the internal video; aggregating driver responses to near-collision events for a plurality of drivers; identifying good drivers associated with high driver scores; determining the driver responses of the good drivers to near-collision events sharing a common label; and training a vehicle control system based on the driver responses of the good drivers, the associated segment of the external video, and the associated segment of the internal video, wherein the vehicle control system controls an autonomous vehicle.

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): 0.4359487477035895
- 35 USC 102 Novelty (BERT): 0.5138210003856863
- Combined Prediction Score: 0.4437359729717992
- Mean Citation Score: 191.1877512
- Max Citation Score: 330.02994
- Similarity Product: 300.1046927710068

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

Dataset: test