PATENT CLAIM ANALYSIS

Application Number: 16038012
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["701", "024000"]

Abstract:
The disclosure generally relates to autonomous or semi-autonomous driving vehicles. An exemplary embodiment of the disclosure relates to a system to provide one or more threat vectors to a cluster of vehicles. An exemplary vehicle detection system includes a communication module configured to receive a first threat vector from a first vehicle in a cluster of vehicles. The first threat vector may include a plurality of primary attributes associated with a moving object. The vehicle detection system may also include a detector module configured to detect the moving object and to provide one or more secondary attributes associated with the moving object; and a controller to construct a second threat vector as a function of one or more of the first threat vector, the primary attributes and the secondary attributes associated with the moving object.

Claim (Index 9):
The system of  claim 1 , wherein the primary or the secondary attributes further comprise one or more of threat identification number, type of the first moving object, location of the first moving object, direction of movement of the first moving object and an estimated or observed speed of the first moving object.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 95.0
- Lexical Diversity: 2.53571
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13839176', '15355839', '13434475', '15409022', '13455831']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4271887045709629
- 35 USC 102 Novelty (BERT): 0.4678459815176095
- Combined Prediction Score: 0.4312544322656276
- Mean Citation Score: 113.1895096
- Max Citation Score: 126.09078
- Similarity Product: 86.6593404983747

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

Dataset: test