FAuto: An Efficient GMM-HMM FPGA Implementation for Behavior Estimation in Autonomous Systems

Li, Junde; Gattu, Navyata; Ghosh, Swaroop

doi:10.1109/ijcnn48605.2020.9207313

2020 International Joint Conference on Neural Networks (IJCNN) 2020

DOI: 10.1109/ijcnn48605.2020.9207313

|View full text |Cite

FAuto: An Efficient GMM-HMM FPGA Implementation for Behavior Estimation in Autonomous Systems

Junde Li

Navyata Gattu

Swaroop Ghosh

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

FAuto: An Efficient GMM-HMM FPGA Implementation for Behavior Estimation in Autonomous Systems

Cited by 1 publication

References 13 publications

Deep-Learning-Based Anomaly Detection for Lane-Changing Decisions

Deep-Learning-Based Anomaly Detection for Lane-Changing Decisions

Contact Info

Product

Resources

About