ORIAS: On-The-Fly Object Identification and Action Selection for Highly Automated Vehicles

Author:

Colley Mark1,Askari Ali1,Walch Marcel1,Woide Marcel2,Rukzio Enrico1

Affiliation:

1. Institute of Media Informatics, Ulm University, Germany

2. Institute of Psychology and Education, Dept. Human Factors, Ulm University, Germany

Publisher

ACM

Cited by 14 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. Deriving Non-Driving-Related Activities in Highly Automated Driving via an Autoethnographic Approach by Traveling Canada in a Recreational Vehicle;Proceedings of Mensch und Computer 2024;2024-09

2. Move, Connect, Interact: Introducing a Design Space for Cross-Traffic Interaction;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

3. Examining Psychological Conflict-Handling Strategies for Highly Automated Vehicles to Resolve Legal User-Vehicle Conflicts;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

4. Law and order: Investigating the effects of conflictual situations in manual and automated driving in a German sample;International Journal of Human-Computer Studies;2024-07

5. Conflict Simulation for Shared Autonomy in Autonomous Driving;Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

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