Mediating the Interaction between Human and Automation during the Arbitration Processes in Cooperative Guidance and Control of Highly Automated Vehicles: Base concept and First Study

Author:

Baltzer Marcel,Altendorf Eugen,Meier Sonja,Flemisch Frank

Abstract

With increasingly automated vehicles, the cooperation between the automation and the human becomes crucial. In cooperative guidance and control (CGC) of highly automated vehicles the questions arise how authority, responsibility and control are distributed between driver and automation, how this distribution is obtained and how different states like abilities, availabilities and modes are communicated between driver and automation. If two independently thinking entities start planning and acting together, the emergence of conflicts is inevitable. These conflicts can be solved by applying the method of arbitration. Arbitration works with different modalities as well as on different planning levels. To handle the complex interdependencies in human-automation interaction in the guidance and control of highly automated vehicles, an “interaction mediator” was designed to incorporate a framework of modules, which in turn are designed to be easily extendable. These modules are the “Mode Selection and Arbitration Unit”, enabling a proper distribution of responsibility depending on present abilities and availabilities, the “Manoeuvre Selection and Arbitration Unit”, the “Trajectory Adaption and Arbitration Unit”, and the “Coupling Valve” where control commands depending on the distribution of responsibility and control are coupled to one common control command for the entire ego-vehicle.

Publisher

AHFE International

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effect of Driver-Initiated Control Transition During Scheduled Take-Overs with Recommendations on Take-Over Time and Vehicle Control Performance;2024

2. Interaction Mediation for Meaningful Human Control over Highly Automated Vehicles;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

3. Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving;Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2023-09-18

4. Human–Machine Cooperative Decision Making Outperforms Individualism and Autonomy;IEEE Transactions on Human-Machine Systems;2023-08

5. Analysis of implicit robot control methods for joint task execution;ROBOMECH Journal;2023-04-24

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