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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
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In-Cabin Monitoring System for Autonomous Vehicles.

Ashutosh Mishra1, Sangho Lee1, Dohyun Kim1

  • 1School of Integrated Technology, Yonsei University, Incheon 21983, Korea.

Sensors (Basel, Switzerland)
|June 24, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an in-cabin monitoring system (IMS) for autonomous vehicles (AVs), enhancing safety and privacy using on-device AI. The system includes essential monitoring actions and a comprehensive database for advanced AV safety.

Keywords:
artificial intelligencehigh-level autonomous drivingin-cabin monitoringintelligent camerairregular situations

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Area of Science:

  • Artificial Intelligence
  • Automotive Safety
  • Human-Computer Interaction

Background:

  • Autonomous vehicles (AVs) require robust in-cabin monitoring for safety and security.
  • Privacy concerns are paramount for personal and shared AV mobility services.
  • Existing monitoring solutions often lack comprehensive, privacy-focused features.

Purpose of the Study:

  • To demonstrate a robust in-cabin monitoring system (IMS) for higher-level autonomous driving.
  • To address privacy concerns within AV monitoring systems.
  • To develop a comprehensive database for in-cabin AV monitoring scenarios.

Main Methods:

  • Development of an on-device AI system integrating monitoring cameras and an onboard device (OBD).
  • Creation of a specialized database (DB) encompassing multifaced in-cabin monitoring scenarios.
  • Comparative analysis of popular AI models for object and occupant recognition.

Main Results:

  • The proposed IMS offers indigenous privacy improvements for users.
  • A comprehensive DB was developed, detailing essential monitoring actions for higher-level AVs.
  • Comparative analysis identified suitable AI models for in-cabin occupant monitoring.

Conclusions:

  • The developed IMS provides a privacy-conscious solution for in-cabin monitoring in autonomous vehicles.
  • The comprehensive DB supports further research in autonomous driving safety and security.
  • The system is crucial for ensuring safety and security in higher levels of autonomous driving.