Creating Geopositioned 3D Areas of Interest from Fleet Gaze Data
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-04987-3_2
Reference23 articles.
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3. Bozkir, E., Geisler, D., Kasneci, E.: Assessment of driver attention during a safety critical situation in VR to generate VR-based training. In: Neyret, S., Kokkinara, E., Franco, M.G., Hoyet, L., Cunningham, D.W., Świdrak, J. (eds.) SAP 2019: ACM Symposium on Applied Perception 2019, pp. 1–5 (2019). https://doi.org/10.1145/3343036.3343138
4. Braunagel, C., Kasneci, E., Stolzmann, W., Rosenstiel, W.: Driver-activity recognition in the context of conditionally autonomous driving. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015), pp. 1652–1657 (2015). https://doi.org/10.1109/ITSC.2015.268
5. Doshi, A., Trivedi, M.M.: Investigating the relationships between gaze patterns, dynamic vehicle surround analysis, and driver intentions. In: IEEE Intelligent Vehicle Symposium. IEEE (2009). https://doi.org/10.1109/IVS.2009.5164397, https://ieeexplore.ieee.org/abstract/document/5164397
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