KI für automatisiertes Fahren
Author:
Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-38486-9_44
Reference101 articles.
1. Acuna, D., Ling, H., Kar, A., Fidler, S.: Efficient interactive annotation of segmentation datasets with polygon-rnn++. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA (2018)
2. Alahi, A., Goel, K., Ramanathan, V., Robicquet, A., Fei-Fei, L., Savarese, S.: Social LSTM: Human trajectory prediction in crowded spaces. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)., S. 961–971, Las Vegas, USA (2016)
3. Amini, A., Gilitschenski, I., Phillips, J., Moseyko, J., Banerjee, R., Karaman, S., Rus, D.: Learning robust control policies for end-to-end autonomous driving from data-driven simulation. IEEE Robot. Auto. Lett. 5(2), 1143–1150 (2020)
4. Arnold, E., Al-Jarrah, O.Y., Dianati, M., Fallah, S., Oxtoby, D., Mouzakitis, A.: A survey on 3d object detection methods for autonomous driving applications. IEEE Trans. Intell. Transp. Syst. 20(10), 3782–3795 (2019)
5. Barth, A., Franke, U.: Where will the oncoming vehicle be the next second? In: 2008 IEEE Intelligent Vehicles Symposium., S. 1068–1073. IEEE, Eindhoven, Netherlands (2008)
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