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 49):
A method as recited in  claim 46 , wherein the distance measurement unit and additionally senses information about the relative position and relative velocity of the second vehicle and the information about the second vehicle received from the second vehicle is further utilized to verify the sensed relative position and relative velocity of the second vehicle.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 2.02632
- Patent Class: 342.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15590803', '15607902', '15860024', '15605456', '15926813']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.588084260746931
- 35 USC 102 Novelty (BERT): 0.5669160517670506
- Combined Prediction Score: 0.585967439848943
- Mean Citation Score: 256.95166800000004
- Max Citation Score: 406.68365
- Similarity Product: 303.8733252775997

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