Generating Versatile Training Samples for UAV Trajectory Prediction-Reference-Cited by-同舟云学术

Generating Versatile Training Samples for UAV Trajectory Prediction

Published:2022 Issue: Volume: Page:208-229
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Becker Stefan^ORCID,Hug Ronny^ORCID,Huebner Wolfgang^ORCID,Arens Michael^ORCID,Morris Brendan T.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19650-8_11

Reference82 articles.

1. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). https://www.tensorflow.org/

2. Alahi, A., Goel, K., Ramanathan, V., Robicquet, A., Fei-Fei, L., Savarese, S.: Social LSTM: human trajectory prediction in crowded spaces. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 961–971 (2016)

3. Amirian, J., Hayet, J.B., Pettre, J.: Social ways: learning multi-modal distributions of pedestrian trajectories with GANs. In: Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2019)

4. Ashraf, M.W., Sultani, W., Shah, M.: Dogfight: detecting drones from drones videos. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7067–7076. Computer Vision Foundation/IEEE (2021)

5. Bai, S., Kolter, J., Koltun, V.: an empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint abs/1803.01271 (2018). http://arxiv.org/abs/1803.01271

Cited by 1 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. Analysis of Deep Learning Model for Trajectory Prediction of Vehicle;Lecture Notes in Electrical Engineering;2024