Evaluation of Display Methods for Teleoperation of Road Vehicles

Chucholowski, Frederic

doi:10.21535/just.v3i3.38

Cited by 29 publications

(15 citation statements)

References 7 publications

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“…Approaches to overcome the issues of mobile networks in Teleoperated Driving have also been proposed. For instance, predictive displays [10], [12] can be used to show the path of the vehicle with respect to the latency and their use can effectively assist while driving. Buffers can be used to overcome the challenges with jitter [14] by smoothening the variability in delay to improve driving performance [12], [23].…”

Section: Related Workmentioning

confidence: 99%

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

Neumeier

Walelgne

Bajpai

et al. 2019

2019 Network Traffic Measurement and Analysis Conference (TMA)

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Teleoperated Driving is the remote control driving of a vehicle by a human driver. The concept of Teleoperated Driving requires the use of mobile networks, which typically experience variable throughput, variable latency and uneven network coverage. To investigate whether Teleoperated Driving can be possible with contemporary mobile networks, we have conducted measurements while driving with vehicles in the real world. We used complementary measurement setups to obtain results that can be compared. The dataset consists of about 5200 km (4660 minutes) driving measurements. Results show that Teleoperated Driving could be possible, but the high variance of network parameters makes it difficult to use the system at all times. It appears that the speed of the vehicle and the distance to the base station may not influence Teleoperated Driving, while handover with changed radio technology, signal strength and distance to the teleoperation station may have an impact. Possible mitigations to overcome these problems along with a basic whitelisting approach is discussed.

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Section: Related Workmentioning

confidence: 99%

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

Neumeier

Walelgne

Bajpai

et al. 2019

2019 Network Traffic Measurement and Analysis Conference (TMA)

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“…To mitigate the limitations of existing networks are systems, several actions can be taken, such as predicting the trajectory of other vehicles or pedestrians [16], projecting the predicted position of the vehicle in the future [11], or supporting the remote driver by controlling the maximum speed and smoothness of steering based on the network status [30].…”

Section: Tele-operated Drivingmentioning

confidence: 99%

A parametric quality model to evaluate the performance of tele-operated driving services over 5G networks

Pérez

Ruiz

Benito

et al. 2021

Multimed Tools Appl

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We have developed a parametric model to quantify the Key Quality Indicators which affect video-based Tele-operated Driving (ToD) over a mobile network, as well as their relationship with the network Key Performance Indicators. This model can be easily used to specify Quality of Service policies (e.g. through network slicing) that guarantee the required conditions for remote driving on specific areas. We have used our model to validate the feasibility of deploying remote-assisted driving in different real networks, both from current 4G deployments and from pre-commercial and commercial 5G pilots. Our results show that some ToD services (supervision and, up to some point, parking) may be feasible with high-end existing 5G networks. However, full remote driving requires some improvements in the system, particularly to reduce end-to-end latency, increase uplink performance, and minimize service losses. Both the model and its results will be used in the framework of European Union H2020 project 5G-MOBIX to deploy a ToD proof-of-concept in the cross-border corridor between Spain and Portugal.

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“…Several multimodal interfaces have been proposed to enhance the human operator's situational awareness while remotely operating [13][14][15][16][17][18]. The effectiveness of individual modalities conveying information to the remote operator has been studied on several occasions.…”

Section: Multimodal Feedbackmentioning

confidence: 99%

“…The effectiveness of individual modalities conveying information to the remote operator has been studied on several occasions. For example, Chucholowski [18] evaluated various types of predictive displays and concluded that they can effectively assist the operator with their task. The use of haptic feedback on the steering wheel for supporting the operator in challenging situations was proposed by Hosseini, Richthammer and Lienkamp [15].…”

Section: Multimodal Feedbackmentioning

confidence: 99%

Multimodal Warnings in Remote Operation: The Case Study on Remote Driving

Kallioniemi

Burova

Mäkelä

et al. 2021

MTI

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Developments in sensor technology, artificial intelligence, and network technologies like 5G has made remote operation a valuable method of controlling various types of machinery. The benefits of remote operations come with an opportunity to access hazardous environments. The major limitation of remote operation is the lack of proper sensory feedback from the machine, which in turn negatively affects situational awareness and, consequently, may risk remote operations. This article explores how to improve situational awareness via multimodal feedback (visual, auditory, and haptic) and studies how it can be utilized to communicate warnings to remote operators. To reach our goals, we conducted a controlled, within-subjects experiment in eight conditions with twenty-four participants on a simulated remote driving system. Additionally, we gathered further insights with a UX questionnaire and semi-structured interviews. Gathered data showed that the use of multimodal feedback positively affected situational awareness when driving remotely. Our findings indicate that the combination of added haptic and visual feedback was considered the best feedback combination to communicate the slipperiness of the road. We also found that the feeling of presence is an important aspect of remote driving tasks, and a requested one, especially by those with more experience in operating real heavy machinery.

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Evaluation of Display Methods for Teleoperation of Road Vehicles

Cited by 29 publications

References 7 publications

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

Measuring the Feasibility of Teleoperated Driving in Mobile Networks

A parametric quality model to evaluate the performance of tele-operated driving services over 5G networks

Multimodal Warnings in Remote Operation: The Case Study on Remote Driving

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