Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles

Schimpe, Andreas; Hoffmann, Simon; Diermeyer, Frank

doi:10.1109/ivworkshops54471.2021.9669258

Cited by 11 publications

(2 citation statements)

References 12 publications

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“…The majority of the research that was explored in this survey focuses on HMI and effects on human performance, which are mostly exploring feasibility and requirements for remote operation in different use cases. To tackle challenges related to communication delays and performance of ROp, recent research has suggested three main solutions: 1) optimizing video feeds (e.g., in [103] and [104]; 2) strategies for remotely operated vehicle to handle bad control commands (e.g., in [105] and [106]); and 3) improved feedback to the operator by means of different feedback modes (e.g., in [69]and [107]). In our opinion, we suggest that we could expect more of these approaches to be proposed in the future research field within the context of RORV, because a certain amount of delay and uncertainty will always remain in the system.…”

Section: B Research Challengesmentioning

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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Section: B Research Challengesmentioning

confidence: 99%

A Survey on Remote Operation of Road Vehicles

2022

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“…In the following we list multiple authors from the same research group. Schimpe et al [41,42] follow the terms, while also utilizing the term teleoperator. In [41] they also distinguish between direct stabilization level control and indirect human-machine collaboration.…”

Section: Research Approachesmentioning

confidence: 99%

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

Bogdoll,

Orf,

Töttel

et al. 2021

Preprint

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Corner cases for driving automation systems can often be detected by the system itself and subsequently resolved by remote humans. There exists a wide variety of approaches on how remote humans can resolve such issues. Over multiple domains, no common taxonomy on those approaches has developed yet. As the scaling of automated driving systems continues to increase, a uniform taxonomy is desirable to improve communication within the scientific community, but also beyond to policymakers and the general public. In this paper, we provide a survey on recent terminologies and propose a taxonomy for remote human input systems, classifying the different approaches based on their complexity.

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