Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC

G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools , 2000

2000

Earlier work this paper cites.

G. Farnebäck, “ Two-Frame Motion Estimation Based on Polynomial Expansion ,” in Scandinavian Conference on Image Analysis , vol. 2749, 06 2003, pp. 363–370

2003

Earlier work this paper cites.

D. P. Kingma and J. Ba, “ Adam: A Method for Stochastic Optimization ,” Proceedings of the 3rd International Conference on Learning Representations (ICLR) , vol. abs/1412.6980, 2014

Original

2014

Earlier work this paper cites.

S. Ren, K. He, R. Girshick, and J. Sun, “ Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks ,” in Advances in Neural Information Processing Systems 28 , C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, and R. Garnett, Eds. Curran Associates, Inc., 2015, pp. 91–99

Original

2015

Earlier work this paper cites.

M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng, “ TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems ,” 2015, software available from tensorflow.org. [Online]. Available: http://tensorflow.org/

2015

Earlier work this paper cites.

M. Bojarski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, X. Zhang, J. Zhao, and K. Zieba, “ End to End Learning for Self-Driving Cars ,” apr 2016. [Online]. Available: https://arxiv.org/abs/1604.07316

Original

2016

Earlier work this paper cites.

S. Levine, C. Finn, T. Darrell, and P. Abbeel, “ End-to-End Training of Deep Visuomotor Policies ,” Journal of Machine Learning Research , vol. 17, no. 39, pp. 1–40, 2016. [Online]. Available: http://jmlr.org/papers/v17/15-522.html

2016

Earlier work this paper cites.

A. Giusti, J. Guzzi, D. Ciresan, F.-L. He, J. P. Rodriguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, and L. Gambardella, “ A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots ,” IEEE Robotics and Automation Letters , 2016

2016

Earlier work this paper cites.

J. Zhang and K. Cho, “Query-efficient imitation learning for end-to-end simulated driving,” in Thirty-First AAAI Conference on Artificial Intelligence , June 2017

2017

Earlier work this paper cites.

N. Smolyanskiy, A. Kamenev, J. Smith, and S. T. Birchfield, “ Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness ,” 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pp. 4241–4247, 2017

2017

Cited alongside, same era.

R. Mur-Artal and J. D. Tardós, “ ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras ,” IEEE Transactions on Robotics , vol. 33, no. 5, pp. 1255–1262, 2017

2017

Cited alongside, same era.

E. Ilg, N. Mayer, T. Saikia, M. Keuper, A. Dosovitskiy, and T. Brox, “ FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks ,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Jul 2017

2017

Cited alongside, same era.

A. Ranjan and M. J. Black., “ Optical flow estimation using a spatial pyramid network ,” 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017

2017

Cited alongside, same era.

E. Kaufmann, A. Loquercio, R. Ranftl, A. Dosovitskiy, V. Koltun, and D. Scaramuzza, “ Deep Drone Racing: Learning Agile Flight in Dynamic Environments ,” in Proceedings of The 2nd Conference on Robot Learning , ser. Proceedings of Machine Learning Research, vol. 87. PMLR, 29–31 Oct 2018, pp. 133–145

2018

Later among the works it cites.

D. Sun, X. Yang, M.-Y. Liu, and J. Kautz, “ PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume ,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2018

2018

Later among the works it cites.

D. Falanga, P. Foehn, P. Lu, and D. Scaramuzza, “ PAMPC: Perception-Aware Model Predictive Control for Quadrotors ,” in 2018 IEEE International Conference on Intelligent Robots and Systems (IROS) , 2018

2018

Later among the works it cites.

J. Redmon and A. Farhadi, “ YOLOv3: An Incremental Improvement ,” arXiv , 2018

Original

2018

Later among the works it cites.