An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles

Ashutosh Mishra; Jinhyuk Kim; Dohyun Kim; Jaekwang Cha; Shiho Kim

doi:10.1109/ISOCC50952.2020.9333062

An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles

Ashutosh Mishra, Jinhyuk Kim, Dohyun Kim, Jaekwang Cha, Shiho Kim

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.

Original language	English
Title of host publication	Proceedings - International SoC Design Conference, ISOCC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	61-62
Number of pages	2
ISBN (Electronic)	9781728183312
DOIs	https://doi.org/10.1109/ISOCC50952.2020.9333062
Publication status	Published - 2020 Oct 21
Event	17th International System-on-Chip Design Conference, ISOCC 2020 - Yeosu, Korea, Republic of Duration: 2020 Oct 21 → 2020 Oct 24

Publication series

Name	Proceedings - International SoC Design Conference, ISOCC 2020

Conference

Conference	17th International System-on-Chip Design Conference, ISOCC 2020
Country/Territory	Korea, Republic of
City	Yeosu
Period	20/10/21 → 20/10/24

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Instrumentation
Artificial Intelligence
Hardware and Architecture

Access to Document

10.1109/ISOCC50952.2020.9333062

Cite this

Mishra, A., Kim, J., Kim, D., Cha, J., & Kim, S. (2020). An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles. In Proceedings - International SoC Design Conference, ISOCC 2020 (pp. 61-62). Article 9333062 (Proceedings - International SoC Design Conference, ISOCC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISOCC50952.2020.9333062

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title = "An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles",

abstract = "Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.",

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author = "Ashutosh Mishra and Jinhyuk Kim and Dohyun Kim and Jaekwang Cha and Shiho Kim",

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year = "2020",

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Mishra, A, Kim, J, Kim, D, Cha, J & Kim, S 2020, An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles. in Proceedings - International SoC Design Conference, ISOCC 2020., 9333062, Proceedings - International SoC Design Conference, ISOCC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 61-62, 17th International System-on-Chip Design Conference, ISOCC 2020, Yeosu, Korea, Republic of, 20/10/21. https://doi.org/10.1109/ISOCC50952.2020.9333062

An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles. / Mishra, Ashutosh; Kim, Jinhyuk; Kim, Dohyun et al.
Proceedings - International SoC Design Conference, ISOCC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 61-62 9333062 (Proceedings - International SoC Design Conference, ISOCC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2020/10/21

Y1 - 2020/10/21

N2 - Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.

AB - Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.

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An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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