PATENT CLAIM ANALYSIS

Application Number: 15772475
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["345", "419000"]

Abstract:
A driving support apparatus ( 10 ) converts at least one of a first map ( 43 ) and a second map ( 53 ) so that the first map ( 43 ) and the second map ( 53 ) become three-dimensional maps in a same coordinate system. The first map ( 43 ) is a three-dimensional map indicating three-dimensional positions of objects around a vehicle ( 100 ). The second map ( 53 ) is a three-dimensional map indicating three-dimensional positions of objects around an external apparatus ( 200 ) that is one of a roadside apparatus ( 201 ) and a different vehicle ( 202 ) from the vehicle ( 100 ). Then, the driving support apparatus ( 10 ) synthesizes the first map ( 43 ) and the second map ( 53 ) after the conversion, thereby generating a composite map ( 44 ).

Claim (Index 16):
A driving support apparatus comprising:\n processing circuitry to generate a first map being a three-dimensional map indicating three-dimensional positions of objects around a vehicle, and to convert a second map being a three-dimensional map indicating three-dimensional positions of objects around an external apparatus, the external apparatus being one of a roadside apparatus and a different vehicle from the vehicle, so that a second coordinate system being a coordinate system of the second map matches a first coordinate system being a coordinate system of the first map generated, wherein the processing circuitry repeatedly extracts, from a plurality of points indicating the three-dimensional positions of the objects in the first map, three target points, as a point a1, a point a2, and a point a3 and repeatedly extracts, from a plurality of points indicating the three-dimensional positions of the objects in the second map, three target points respectively made to correspond to the point a1, the point a2, and the point a3, as a point b1, a point b2, and a point b3, computes a likelihood when the point a1 and the point b1 indicate a same position, the point a2 and the point b2 indicate a same position, and the point a3 and the point b3 indicate a same position, computes a conversion amount for matching the second coordinate system to the first coordinate system, assuming that, with respect to the target points repeatedly extracted and having a high likelihood computed, the point a1 and the point b1 indicate the same position, the point a2 and the point b2 indicate the same position, and the point a3 and the point b3 indicate the same position, converts the second map, using the conversion amount computed, computes, using a distance between the point b1 and the point b2, the position of the point b2 when the point b1 is placed at the same position as the point a1 in the first coordinate system and the point b2 is placed on a straight line X passing through the point a1 and the point a2, computes, using a distance between the point b2 and the point b3, the position of the point b3 when the point b3 is placed on a straight line Z in the first coordinate system, the straight line Z being obtained by moving a straight line Y passing through the point a2 and the point a3 in parallel so that the straight line Y passes through the position of the point b2 computed, and computes a distance between the point a3 and the position of the point b3 computed, as the likelihood.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 91.0
- Lexical Diversity: 2.78182
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15952298', '14845493', '13142212', '15310066', '15903616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.573208269104025
- 35 USC 102 Novelty (BERT): 0.4654676446654317
- Combined Prediction Score: 0.5624342066601656
- Mean Citation Score: 148.44892199999995
- Max Citation Score: 153.05087
- Similarity Product: 121.88923099339844

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

Dataset: test