Simultaneous Achievement of Driver Assistance and Skill Development in Shared and Cooperative Controls

07/01/2019
by   Takahiro Wada, et al.
0

Advanced driver assistance systems have successfully reduced drivers' workloads and increased safety. On the other hand, the excessive use of such systems can impede the development of driving skills. However, there exist collaborative driver assistance systems, including shared and cooperative controls, which can promote effective collaboration between an assistance system and a human operator under appropriate system settings. Given an effective collaboration setup, we address the goal of simultaneously developing or maintaining driving skills while reducing workload. As there has been a paucity of research on such systems and their methodologies, we discuss a methodology applying shared and cooperative controls by considering related concepts in the skill training field. Reverse parking assisted by haptic shared control is presented as a means of increasing performance during assistance, while skill improvement following assistance is used to demonstrate the possibility of simultaneous achievement of driver assistance through the reduction of workload and skill improvement.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/24/2022

Model-based Evaluation of Driver Control Workloads in Haptic-based Driver Assistance Systems

This study presents a novel approach for modeling and simulating human-v...
research
09/12/2018

Human Driving Skill Modeling Using Neural Networks for Haptic Assistance in Realistic Virtual Environments

This work addresses our research on driving skill modeling using artific...
research
09/09/2020

Adaptive driver-automation shared steering control via forearm surface electromyography measurement

Shared steering control has been developed to reduce driver workload whi...
research
07/03/2019

Effect of assistive method on the sense of fulfillment with agency: Modeling with flow and attribution theory

Several assistive technologies for users' operations have been recently ...
research
01/03/2023

Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System

Reinforcement learning (RL)-based driver assistance systems seek to impr...
research
06/06/2018

Online User Assessment for Minimal Intervention During Task-Based Robotic Assistance

We propose a novel criterion for evaluating user input for human-robot i...

Please sign up or login with your details

Forgot password? Click here to reset