Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022 - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

YOLO-based deep learning design for in-cabin monitoring system with fisheye-lens camera

YS Poon, CC Lin, YH Liu, CP Fan - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
To exploit an image-based in-cabin monitoring system for driving behavior and in-vehicle
occupants detections to improve driving safety, in this paper, by installing a fisheye-lens …

In-cabin monitoring system for autonomous vehicles

A Mishra, S Lee, D Kim, S Kim - Sensors, 2022 - mdpi.com
In this paper, we have demonstrated a robust in-cabin monitoring system (IMS) for safety,
security, surveillance, and monitoring, including privacy concerns for personal and shared …

Authorized traffic controller hand gesture recognition for situation-aware autonomous driving

A Mishra, J Kim, J Cha, D Kim, S Kim - Sensors, 2021 - mdpi.com
An authorized traffic controller (ATC) has the highest priority for direct road traffic. In some
irregular situations, the ATC supersedes other traffic control. Human drivers indigenously …

Privacy‐Preserved In‐Cabin Monitoring System for Autonomous Vehicles

A Mishra, J Cha, S Kim - Computational Intelligence and …, 2022 - Wiley Online Library
Fully autonomous vehicles (FAVs) lack monitoring inside the cabin. Therefore, an in‐cabin
monitoring system (IMS) is required for surveilling people causing irregular or abnormal …

HCI based in-cabin monitoring system for irregular situations with occupants facial anonymization

A Mishra, J Cha, S Kim - International Conference on Intelligent Human …, 2020 - Springer
Absence of human in-charge in fully autonomous vehicles (FAVs) impose multi-pronged in-
cabin monitoring in real-time to monitor any irregular situation. Moreover, occupant's visual …

Irregular situations in real-world intelligent systems

A Mishra, S Kim - Advances in Computers, 2024 - Elsevier
Real-world is full of uncertainty. This uncertainty introduces examples of irregular situations
(situations that are contrary to the normal routine). Artificial intelligence (AI) has greatly …

In-Cabin vehicle synthetic data to test Deep Learning based human pose estimation models

LGT Ribas, MP Cocron, JL Da Silva… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
The use of vehicle in-cabin monitoring has been increasing to fulfil the specifications of
European safety regulations. These regulations present several requirements for detecting …

Improving Passenger Detection with Overhead Fisheye Imaging

D Tsiktsiris, A Lalas, M Dasygenis, K Votis - IEEE Access, 2024 - ieeexplore.ieee.org
Detecting passengers within overhead, fisheye images presents a unique set of challenges.
Traditional approaches rely on radially-aligned bounding boxes based on the assumption …

Development of machine learning models for facial emotion recognition as an in-cabin monitoring system for automated mobility

A De Asís Molleja - 2024 - upcommons.upc.edu
Nowadays exists a huge resistance towards using Autonomous Driving or Advanced Driver
Assistance Systems while driving a car, for both young and elderly drivers and occupants …