Dr.-Ing. Foghor Tanshi
 | Federal University of Petroleum Resources, Nigeria
|
Lehrstuhl SRS - Team
Kurzvita / CV
| 2021 | Dr.-Ing. Mechanical Engineering, Faculty of Engineering, University of Duisburg-Essen, Germany |
| 2015 | Lecturer, Federal University of Petroleum Resources, Nigeria |
| 2015 | M.Sc. Systems Engineering, University of Lagos, Nigeria |
| 2013 | Graduate Assistant, Federal University of Petroleum Resources, Nigeria |
| 2011 | B.Eng. Computer Engineering, Faculty of Engineering, Nigeria, University of Benin, Nigeria |
Veröffentlichungen / Publications
- Tanshi, F.; Söffker, D.: Improved Situation Awareness with User Intention-Based Lane Change Assistant . IEEE Conference on Cognitive and Computational Aspectsof Situation Management (CogSIMA), Duisburg, Germany, June 2-5, 2025, pp. 135-142. , [Link]
- Shyshova, O.; Gadhavi, P.; Tenzer, M.; Tanshi, F.; Söffker, D.: Takeover time: Requirements for highly automated inland vessels: First experimental-based results. IEEE ICHMS, 4th IEEE International Conference on Human-Machine Systems, Toronto, Canada, May 15-17, 2024. , [Link]
- Shyshova, O.; Gadhavi, P.; Tenzer, M.; Tanshi, F.; Söffker, D.: Preparation for takeover: A discussion about limits for take over in highly automated systems using the experimental exam-ple of takeover situations on highly automated inland waterway vessels. Autonomous Inland and Short Sea Shipping Conference (AISS 2024), Duisburg, Germany, September 10-11, 2024. , [Link]
- Tanshi, F.; Söffker, D.: Determination of takeover time budget based on analysis of driver behavior. IEEE Open Journal of Intelligent Transportation Systems, Vol. 3, 2022, pp. 813-824. , [PDF], [Link]
- Deng, Q.; Saleh, M.; Tanshi, F.; Söffker, D.: Online Intention Recognition Applied to Real Simulated Driving Maneuvers. IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2020), British Columbia, Canada, 2020, pp. 1-6. , [PDF], [Link]
- He, C.; Tanshi, F.; Söffker, D.: Human online reliability estimation applied to real driving maneuvers. 2020 IEEE Conference on Cognitive and Computational Aspects of Situation management (CogSIMA), Victoria, BC, Canada, 2020, pp. 149-154. , [PDF], [Link]
- Tanshi, F.; Dargahi Nobari, K.; Wang, J.; Söffker, D.: Design of Conditional Driving Automation Variables to Improve Takeover Performance. 10th IFAC Symposium on Intelligent Autonomous Vehicles, Gdansk, Poland, 2019, pp. 170-175.
- Tanshi, F.; Söffker, D.: Modeling drivers takeover behavior depending on the criticality of driving situations and the complexity of secondary tasks. IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) 2019, Las Vegas, USA, 2019. , [Link]
- Tanshi, F.; Söffker, D.: Understanding the Dependencies Of Human Takeover Behavior from Various Dimensions of Criticality. 8. Interdisziplinärer Workshop Kognitive Systeme, Duisburg, Germany, March 26-28, 2019.
- Tanshi, F.; Söffker, D.: Modeling of takeover variables with respect to driver situation awareness and workload for intelligent driver assistance. 2019 IEEE Intelligent Vehicles Symposium (IV'19), Paris, France, 2019. , [Link]
- Tanshi, F.; Sarkheyli-Hägele, A.; Wang, J.; Söffker, D.: Analysis of Driver Assistance and Supervision Approaches with Respect to Research Goals and Cognitive Efficiency. 7. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Braunschweig (DLR), June 21-22, 2018.