Teleoperated driving basics and system design

Tang, Tito; Chucholowski, Frederic; Lienkamp, Markus

doi:10.1007/s38311-014-0018-1

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…Finally, it is also possible to lower the maximum speed of the remote vehicle and in parallel lower the frames per second of the video stream. For higher speeds it is important to see a fluent image, which is 25fps [29], but with lower speed the frames per second can be reduced and steering is still possible. Finally, it is also possible to use multiple sim-cards [17] of different providers.…”

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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“…A specific characteristic of such control systems is their necessity to provide short and predictable reaction times on events in the physical world, to guarantee a good control quality [14]. Both properties are likewise essential for modern systems, such as tele-operated-driving [27], and classic systems, such as the control of internal combustion engines [11].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Latency and Possible Throughput of External Interrupts on Cyber-Physical Systems

Horst,

Wiesböck,

Wild

et al. 2020

Preprint

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An important characteristic of cyber-physical systems is their capability to respond, in-time, to events from their physical environment. However, to the best of our knowledge there exists no benchmark for assessing and comparing the interrupt handling performance of different software stacks. Hence, we present a flexible evaluation method for measuring the interrupt latency and throughput on ARMv8-A based platforms. We define and validate seven testcases that stress individual parts of the overall process and combine them to three benchmark functions that provoke the minimal and maximal interrupt latency, and maximal interrupt throughput.

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