Scene-Aware Explainable Multimodal Trajectory Prediction

D. Koller and M. Sahami, “Toward Optimal Feature Selection,” Stanford InfoLab, Tech. Rep., 1996

1996

Earlier work this paper cites.

W. Huang, X. Zhao, G. Jin, and X. Huang, “SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023, pp. 1988–1998

1998

Earlier work this paper cites.

T. M. Cover, Elements of Information Theory . John Wiley & Sons, 1999

1999

Earlier work this paper cites.

J. Kim and J. Canny, “Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention,” in Proceedings of the IEEE international conference on computer vision , 2017, pp. 2942–2950

2017

Earlier work this paper cites.

S. Kato, S. Tokunaga, Y. Maruyama, S. Maeda, M. Hirabayashi, Y. Kitsukawa, A. Monrroy, T. Ando, Y. Fujii, and T. Azumi, “Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems,” in 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems , 2018, pp. 287–296

2018

Earlier work this paper cites.

H. Fan, F. Zhu, C. Liu, L. Zhang, L. Zhuang, D. Li, W. Zhu, J. Hu, H. Li, and Q. Kong, “Baidu Apollo EM Motion Planner,” arXiv preprint arXiv:1807.08048 , 2018

Original

2018

Earlier work this paper cites.

E. Barsoum, J. Kender, and Z. Liu, “HP-GAN: Probabilistic 3D Human Motion Prediction via GAN,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops , 2018, pp. 1418–1427

2018

Earlier work this paper cites.

L. Hou, L. Xin, S. E. Li, B. Cheng, and W. Wang, “Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network,” IEEE Transactions on Intelligent Transportation Systems , vol. 21, no. 11, pp. 4615–4625, 2019

2019

Earlier work this paper cites.

M.-F. Chang, J. Lambert, P. Sangkloy, J. Singh, S. Bak, A. Hartnett, D. Wang, P. Carr, S. Lucey, D. Ramanan et al. , “Argoverse: 3D Tracking and Forecasting With Rich Maps,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2019, pp. 8748–8757

2019

Earlier work this paper cites.

J. Kim and M. Bansal, “Attentional Bottleneck: Towards an Interpretable Deep Driving Network,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , 2020, pp. 322–323

2020

Earlier work this paper cites.

M. Schwall, T. Daniel, T. Victor, F. Favaro, and H. Hohnhold, “Waymo Public Road Safety Performance Data,” arXiv preprint arXiv:2011.00038 , 2020

Original

2020

Earlier work this paper cites.

R. Moraffah, M. Karami, R. Guo, A. Raglin, and H. Liu, “Causal Interpretability for Machine Learning - Problems, Methods and Evaluation,” ACM SIGKDD Explorations Newsletter , vol. 22, no. 1, pp. 18–33, 2020

2020

Cited alongside, same era.

D. Omeiza, H. Webb, M. Jirotka, and L. Kunze, “Explanations in Autonomous Driving: A Survey,” IEEE Transactions on Intelligent Transportation Systems , vol. 23, no. 8, pp. 10 142–10 162, 2021

2021

Cited alongside, same era.

É. Zablocki, H. Ben-Younes, P. Pérez, and M. Cord, “Explainability of Vision-based Autonomous Driving Systems: Review and Challenges,” arXiv preprint arXiv:2101.05307 , vol. 2, 2021

Original

2021

Cited alongside, same era.

J. Zhou, R. Wang, X. Liu, Y. Jiang, S. Jiang, J. Tao, J. Miao, and S. Song, “Exploring Imitation Learning for Autonomous Driving with Feedback Synthesizer and Differentiable Rasterization,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2021, pp. 1450–1457

2021

T. Gu, G. Chen, J. Li, C. Lin, Y. Rao, J. Zhou, and J. Lu, “Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022, pp. 17 113–17 122

2022

Later among the works it cites.

E. Amirloo, A. Rasouli, P. Lakner, M. Rohani, and J. Luo, “LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction,” arXiv preprint arXiv:2203.01880 , 2022

Original

2022

Later among the works it cites.

B. Varadarajan, A. Hefny, A. Srivastava, K. S. Refaat, N. Nayakanti, A. Cornman, K. Chen, B. Douillard, C. P. Lam, D. Anguelov et al. , “MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction,” in 2022 International Conference on Robotics and Automation , 2022, pp. 7814–7821

2022

Later among the works it cites.

X. Tang, S. S. Eshkevari, H. Chen, W. Wu, W. Qian, and X. Wang, “Golfer: Trajectory Prediction with Masked Goal Conditioning MnM Network,” arXiv preprint arXiv:2207.00738 , 2022