Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems

Bogdoll, Daniel; Orf, Stefan; Töttel, Lars; Zöllner, J. Marius

doi:10.1007/978-3-030-98015-3_6

Cited by 21 publications

(15 citation statements)

References 20 publications

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“…The system controls all the components and factors such as speed, braking, and acceleration, and improves safety. Sensors monitor all the surrounding environmental features, and interactions are scheduled [27].…”

Section: Applicationmentioning

confidence: 99%

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Abbasi,

Rahmani

2023

Information

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Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road safety and mobility. However, designing AVs involves various critical aspects, such as software and system requirements, that must be carefully addressed. This paper investigates safety-aware approaches for AVs, focusing on the software and system requirements aspect. It reviews the existing methods based on software and system design and analyzes them according to their algorithms, parameters, evaluation criteria, and challenges. This paper also examines the state-of-the-art artificial intelligence-based techniques for AVs, as AI has been a crucial element in advancing this technology. This paper reveals that 63% of the reviewed studies use various AI methods, with deep learning being the most prevalent (34%). The article also identifies the current gaps and future directions for AV safety research. This paper can be a valuable reference for researchers and practitioners on AV safety.

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Section: Applicationmentioning

confidence: 99%

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Abbasi,

Rahmani

2023

Information

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“…Monitoring tasks form the basis for all other tasks and include receiving and observing data sent by the vehicle (Bogdoll et al, 2022). This does not involve permanent monitoring of each vehicle, but rather monitoring of the fleet to the extent that a fault message or request from a vehicle is perceived.…”

Section: Monitoringmentioning

confidence: 99%

Who Will Drive Automated Vehicles? - Usability Context Analysis and Design Guidelines for Future Control Centers for Automated Vehicle Traffic

Schwindt¹,

Heller²,

Theobald³

et al. 2023

Human Factors in Transportation

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In order to create framework conditions for the introduction of highly or fully automated vehicles in Germany, the Federal Ministry of Transport and Digital Infrastructure has drafted a bill to amend the Road Traffic Act and the Compulsory Insurance Act. A key aspect of the bill on automated driving is the introduction of Technical Supervision. This serves as a fallback level and must be able to intervene from the Control Center if necessary. Since future Control Centers for automated vehicles will differ significantly from existing Control Centers in other contexts, an appropriate distribution of tasks between the Technical Supervision and the automated vehicle on the one hand, and between the personnel within the Control Center on the other hand, must first be found. Therefore, this paper describes the requirements for framework conditions, work contents and processes, the necessary tools and the qualification of the employees of future Control Centers, which were identified on the basis of an analysis of the context of use. Since an analysis of existing systems and the participation of actual Technical Supervisors is not possible due to not yet existing Control Centers for highly or fully automated vehicles, the analysis is based on a systematic literature review and an expert workshop.

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“…2) remote fallback-ready user [SAE's Level 3]; and 3) remote assistant/driverless operation dispatcher [SAE's Apart from SAE's definition, we also consider the definition of Remote Human Input Systems (RHIS) in [5]. the work in [5] states that SAE's definition of ''remote driving'' is only available at the Level 1 and 2, while the most recent version of the SAE J3016 202104 standard [4] considers the possibility of remote operation across all levels (Table 3 in [4]).…”

Section: A Modes Of Remote Operationmentioning

confidence: 99%

A Survey on Remote Operation of Road Vehicles

2022

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In recent years, the use of remote operation has been proposed as a bridge towards driverless mobility by providing human assistance remotely when an automated driving system finds a situation that is ambiguous and requires input from a remote operator. The remote operation of road vehicles has also been proposed as a way to enable drivers to operate vehicles from safer and more comfortable locations. While commercial solutions for remote operation exist, remaining challenges are being tackled by the research community, who is continuously testing and validating the feasibility of deploying remote operation of road vehicles on public roads. These tests range from the technological scope to social aspects such as acceptability and usability that affect human performance. This survey presents a compilation of works that approach the remote operation of road vehicles. We start by describing the basic architecture of remote operation systems and classify their modes of operation depending on the level of human intervention. We use this classification to organize and present recent and relevant work on the field from industry and academia. Finally, we identify the challenges in the deployment of remote operation systems in the technological, regulatory, and commercial scopes.

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Taxonomy and Survey on Remote Human Input Systems for Driving Automation Systems

Cited by 21 publications

References 20 publications

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Who Will Drive Automated Vehicles? - Usability Context Analysis and Design Guidelines for Future Control Centers for Automated Vehicle Traffic

A Survey on Remote Operation of Road Vehicles

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