Invention Grant
- Patent Title: Probabilistic inference using weighted-integrals-and-sums-by-hashing for object tracking
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Application No.: US14887031Application Date: 2015-10-19
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Publication No.: US10229363B2Publication Date: 2019-03-12
- Inventor: Vidya Nariyambut Murali , Sneha Kadetotad , Daniel Levine
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: FORD GLOBAL TECHNOLOGIES, LLC
- Current Assignee: FORD GLOBAL TECHNOLOGIES, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Stevens Law Group
- Agent David R. Stevens
- Main IPC: G06N7/00
- IPC: G06N7/00 ; G06N99/00

Abstract:
Systems, methods, and devices for sensor fusion are disclosed herein. A system for sensor fusion includes one or more sensors, a model component, and an inference component. The model component is configured to calculate values in a joint-probabilistic graphical model based on the sensor data. The graphical model includes nodes corresponding to random variables and edges indicating correlations between the nodes. The inference component is configured to detect and track obstacles near a vehicle based on the sensor data and the model using a weighted-integrals-and-sums-by-hashing (WISH) algorithm.
Public/Granted literature
- US20170109644A1 Probabilistic Inference Using Weighted-Integrals-And-Sums-By-Hashing For Object Tracking Public/Granted day:2017-04-20
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |