Data fusion and analysis engine for vehicle sensors

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12263849
APP PUB NO 20230112441A1
SERIAL NO

17961169

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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Systems and methods for data fusion and analysis of vehicle sensor data, including receiving a multiple modality input data stream from a plurality of different types of vehicle sensors, determining latent features by extracting modality-specific features from the input data stream, and aligning a distribution of the latent features of different modalities by feature-level data fusion. Classification probabilities can be determined for the latent features using a fused modality scene classifier. A tree-organized neural network can be trained to determine path probabilities and issue driving pattern judgments, with the tree-organized neural network including a soft tree model and a hard decision leaf. One or more driving pattern judgments can be issued based on a probability of possible driving patterns derived from the modality-specific features.

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Patent Owner(s)

  • NEC CORPORATION

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Haifeng West Windsor, US 334 1793
Chen, Yuncong Plainsboro, US 50 58
Chen, Zhengzhang Princeton Junction, US 70 422
Cheng, Wei Princeton Junction, US 270 548
Kobayashi, Yuji Tokyo, JP 274 2386
Ren, Yuxiang Tallahassee, US 6 8
Tang, LuAn Pennington, US 55 407

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