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.
|Title of host publication||Proceedings - International SoC Design Conference, ISOCC 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|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
|Name||Proceedings - International SoC Design Conference, ISOCC 2020|
|Conference||17th International System-on-Chip Design Conference, ISOCC 2020|
|Country/Territory||Korea, Republic of|
|Period||20/10/21 → 20/10/24|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported by Korea Research Fellowship program funded by the Ministry of Science and ICT through the National Research Foundation of Korea (NRF-2019H1D3A1A01071115).
© 2020 IEEE.
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Artificial Intelligence
- Hardware and Architecture