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Bibliographic Details
Main Authors: Hans, Ole, Adamy, Jürgen
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.00246
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author Hans, Ole
Adamy, Jürgen
author_facet Hans, Ole
Adamy, Jürgen
contents This study investigates disengagements of Remote Driving Systems (RDS) based on interventions by an in-vehicle Safety Drivers (SD) in real-world Operational Design Domains (ODD) with a focus on Remote Driver (RD) performance during their driving training. Based on an analysis of over 14,000 km on remote driving data, the relationship between the driving experience of 25 RD and the frequency of disengagements is systematically investigated. The results show that the number of SD interventions decreases significantly within the first 400 km of driving experience, which illustrates a clear learning curve of the RD. In addition, the most common causes for 183 disengagements analyzed are identified and categorized, whereby four main scenarios for SD interventions were identified and illustrated. The results emphasize the need for experience-based and targeted training programs aimed at developing basic driving skills early on, thereby increasing the safety, controllability and efficiency of RDS, especially in complex urban environment ODDs.
format Preprint
id arxiv_https___arxiv_org_abs_2504_00246
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Learning from Disengagements: An Analysis of Safety Driver Interventions during Remote Driving
Hans, Ole
Adamy, Jürgen
Systems and Control
This study investigates disengagements of Remote Driving Systems (RDS) based on interventions by an in-vehicle Safety Drivers (SD) in real-world Operational Design Domains (ODD) with a focus on Remote Driver (RD) performance during their driving training. Based on an analysis of over 14,000 km on remote driving data, the relationship between the driving experience of 25 RD and the frequency of disengagements is systematically investigated. The results show that the number of SD interventions decreases significantly within the first 400 km of driving experience, which illustrates a clear learning curve of the RD. In addition, the most common causes for 183 disengagements analyzed are identified and categorized, whereby four main scenarios for SD interventions were identified and illustrated. The results emphasize the need for experience-based and targeted training programs aimed at developing basic driving skills early on, thereby increasing the safety, controllability and efficiency of RDS, especially in complex urban environment ODDs.
title Learning from Disengagements: An Analysis of Safety Driver Interventions during Remote Driving
topic Systems and Control
url https://arxiv.org/abs/2504.00246