In-Vehicle Occupancy Detection And Classification Using Machine Learning-Reference-Cited by-同舟云学术

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In-Vehicle Occupancy Detection And Classification Using Machine Learning

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
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Author:

Vamsi Malneedi,Soman K.P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9211590/9225262/09225661.pdf?arnumber=9225661

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust Localization of Key Fob Using Channel Impulse Response of Ultra Wide Band Sensors for Keyless Entry Systems;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Privilege: An Innovative Mobile Application Featuring Passengers Transport Riding Safety Checking, Driver Selection, and Emergency Assistance;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22

3. Real-Time Vehicle Passenger Detection Through Deep Learning;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

4. Child Car Seat Alert System via Load and Temperature Sensing;2023 IEEE 13th International Conference on System Engineering and Technology (ICSET);2023-10-02

5. In-cabin occupant monitoring system based on improved Yolo, deep reinforcement learning, and multi-task CNN for autonomous driving;Fifteenth International Conference on Machine Vision (ICMV 2022);2023-06-07

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