PATENT CLAIM ANALYSIS

Application Number: 15936271
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["342", "070000"]

Abstract:
A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

Claim (Index 35):
A method as recited in  claim 21 , further comprising:\n receiving from the second vehicle an indication of an observable characteristic of the second vehicle selected from the group consisting of a visual characteristic of the second vehicle, and a radar signature of the second vehicle; and utilizing the received indication of an observable characteristic in the determination of whether the sensed information about the distance to the second vehicle is a valid measurement of the distance.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 2.02632
- Patent Class: 342.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15590803', '15607902', '15860024', '15605456', '15926813']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5598034724391658
- 35 USC 102 Novelty (BERT): 0.5635161508695502
- Combined Prediction Score: 0.5601747402822044
- Mean Citation Score: 256.95166800000004
- Max Citation Score: 406.68365
- Similarity Product: 286.3978372639238

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

Dataset: test