Invention Grant
- Patent Title: Similarity learning and association between observations of multiple connected vehicles
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Application No.: US15870874Application Date: 2018-01-13
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Publication No.: US10916135B2Publication Date: 2021-02-09
- Inventor: Rui Guo , Kentaro Oguchi
- Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA
- Applicant Address: JP Toyota
- Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
- Current Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
- Current Assignee Address: JP Toyota
- Agency: VLP Law Group, LLP
- Agent Michel Bohn
- Main IPC: G08G1/0967
- IPC: G08G1/0967 ; G08G1/01 ; B60W40/04 ; H04W4/46 ; G08G1/00 ; G06K9/00 ; G06K9/62

Abstract:
In an example embodiment, a first vehicle platform includes a first sensor that has a first perspective directed toward an external environment and that captures first sensor data reflecting first objects, and a communication unit for receiving second sensor data from a second vehicle platform that reflects second objects included in the external environment. One or more computing devices extract a first set of multi-modal features from the first objects, and a second set of multi-modal features from the second objects in the second image, process the first set of multi-modal features and the second set of multi-modal features using separate machine learning logic to produce a first output and a second output, respectively, generate a similarity score using the first output and the second output; and associate the first and second perspectives using the similarity score.
Public/Granted literature
- US20190221121A1 Similarity Learning and Association Between Observations of Multiple Connected Vehicles Public/Granted day:2019-07-18
Information query
IPC分类: