PATENT CLAIM ANALYSIS

Application Number: 16148390
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-10
Patent Classification: ["701", "096000"]

Abstract:
A system to prevent vehicle collisions by resolving potential hazards before they become imminent collisions. An automatic potential-hazard avoidance system can monitor traffic proximate to a subject vehicle, determine when a potential hazard situation is present, and select an appropriate responsive sequence of actions to avoid the potential hazard. Embodiments may provide a gradual, transparent, computer-controlled intervention to move the vehicle away from potential hazard regions.

Claim (Index 14):
The system of  claim 1 , wherein:\n the non-transitory computer readable media contain gradual sequences of actions and emergency sequences of actions; wherein the gradual sequences of actions comprise accelerations and decelerations within predetermined maximum limits, and do not include braking nor steering; wherein the emergency sequences of actions comprise accelerations, decelerations, braking, and steering; wherein responsive to a potential hazard, the processor is configured to select the particular sequence of actions from the gradual sequences of actions; and responsive to an imminent collision, the processor is configured to select the particular sequence of actions from the emergency sequences of actions.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 1.37736
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16114950', '15729757', '15347612', '15347573', '15926813']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.439506442034786
- 35 USC 102 Novelty (BERT): 0.5133327765244026
- Combined Prediction Score: 0.4468890754837477
- Mean Citation Score: 228.281798
- Max Citation Score: 248.20523
- Similarity Product: 147.66939595248223

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

Dataset: test