Human-Robot Interaction and Self-Driving Cars Safety Integration of Dispositif Networks

Mokhtarzadeh, Amir Ali; Yangqing, Zhao Jian

doi:10.1109/iisr.2018.8535696

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…e view of self-driven cars is shown in Figure 2. However, there have been many accidents with self-driving cars [26]. In another case, a self-driving car from a Ford-backed business named Argo was carrying four people when it jumped a red light and collided with a vehicle in Pittsburgh, less than a mile from its starting position.…”

Section: Reat and Attacks Onmentioning

confidence: 99%

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Alshamrani

Alkhudadi

Almtrafi

2022

Security and Communication Networks

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Robots have improved human life and increased the efficiency of performance in tasks that require precision and effort. For example, surgical robots are now used to perform precise surgical procedures and give accurate results. Moreover, robots are also used in elderly care to ease their lives. Perhaps there can even be self-driving cars that could deliver a person to their destination without the need of a driver. So it is very important to mention that these robots should be secure in terms of security for human life. Hence, this paper aims to explore the published studies on robots and their various security vulnerabilities. We review the most prominent weaknesses in the robotic operating system (ROS) and discuss some types of attacks against these robots. Also, this paper discusses the security enhancements to protect ROS that researchers have suggested protecting against some of the attacks and vulnerabilities that may occur on these robots. The primary findings of this work are to generate system copies for backup as well as encryption to protect against information disclosure. Also, a dynamic model is needed to detect and mitigate attacks that may occur in a physical manner, such as injecting malware into robots.

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Section: Reat and Attacks Onmentioning

confidence: 99%

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Alshamrani

Alkhudadi

Almtrafi

2022

Security and Communication Networks

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“…The attitude towards the HMI design on the AVs can directly reflect humans' acceptance of the designing concept and it is also the basis of validation on this road safety approach. To create a common language between human and AV, it's easier to make the vehicle more human-like instead of changing people's mindset for understanding the machine [28,29]. The result of Decision Making (DM) helps to assess the whole experiment whether the interaction improves mutual understanding and lower the risk of fatal collision and misjudging.…”

Section: Theoretical Analyzing Modelmentioning

confidence: 99%

Intelligent functions development on autonomous electric vehicle platform

Wang¹,

Sell²,

Rassõlkin³

et al. 2020

Journal of Machine Engineering

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Autonomous driving is no longer just an idea of technology vision instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more on mobile robots safety while bringing more challenges to human-vehicle interaction. A robot autonomous vehicle (AV) as a research platform operates an experimental study on human-AV-interaction (HAVI) and performs a novel method for mobile robot safety assurance. Not only autonomous driving technology itself but human cognition also performs an essential role in how to ensure better autonomous mobile robot safety. A Wizard-of-Oz experiment in the university combing a survey-based study indicates public attitudes towards driverless robot vehicles. HAVI experiment have been carried through light patterns designed for experiment. This paper presents an attempt to investigate humans' acceptance and emotions as well as a validation to bring the mobile robot vehicle to a high-level autonomy.

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“…These in-vehicle intelligent assistants enhance the intelligence level of the cockpit and can execute diverse tasks. The interaction between human and in-vehicle robots is considered as an integration of a complex social and technical system [ 1 ], which needs an advanced model to improve safety and trust in autonomous vehicles [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Design of Proactive Interaction for In-Vehicle Robots Based on Transparency

Wang

Yue

Liu

et al. 2022

Sensors

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Based on the transparency theory, this study investigates the appropriate amount of transparency information expressed by the in-vehicle robot under two channels of voice and visual in a proactive interaction scenario. The experiments are to test and evaluate different transparency levels and combinations of information in different channels of the in-vehicle robot, based on a driving simulator to collect subjective and objective data, which focuses on users’ safety, usability, trust, and emotion dimensions under driving conditions. The results show that appropriate transparency expression is able to improve drivers’ driving control and subjective evaluation and that drivers need a different amount of transparency information in different types of tasks.

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Human-Robot Interaction and Self-Driving Cars Safety Integration of Dispositif Networks

Cited by 6 publications

References 9 publications

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Cyberattacks on Self-Driving Cars and Surgical and Eldercare Robots

Intelligent functions development on autonomous electric vehicle platform

Design of Proactive Interaction for In-Vehicle Robots Based on Transparency

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