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美团技术团队 发布于 2 月 1 日
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自动驾驶轨迹预测算法：NeurIPS挑战赛冠军方案
美团技术团队 发布于 2 月 1 日
05 参考文献
[1] Alahi A, Goel K, Ramanathan V, et al. Social lstm: Human trajectory prediction in crowded spaces[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 961-971. [2] Gupta A, Johnson J, Fei-Fei L, et al. Social gan: Socially acceptable trajectories with generative adversarial networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2255-2264. [3] Zhu Y, Qian D, Ren D, et al. StarNet: Pedestrian trajectory prediction using deep neural network in star topology[C]//Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. 2019: 8075-8080. [4] Chai Y, Sapp B, Bansal M, et al. Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction[J]. arXiv preprint arXiv:1910.05449, 2019. [5] Chang M F, Lambert J, Sangkloy P, et al. Argoverse: 3d tracking and forecasting with rich maps[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 8748-8757. [6] Liang J, Jiang L, Niebles J C, et al. Peeking into the future: Predicting future person activities and locations in videos[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 5725-5734. [7] Mohamed A, Qian K, Elhoseiny M, et al. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 14424-14432. [8] Liang M, Yang B, Hu R, et al. Learning lane graph representations for motion forecasting[C]//European Conference on Computer Vision. Springer, Cham, 2020: 541-556. [9] Huang Y, Bi H K, Li Z, et al. STGAT: Modeling spatial-temporal interactions for human trajectory prediction[C]//Proceedings of the IEEE International Conference on Computer Vision. 2019: 6272-6281. [10] Gao J, Sun C, Zhao H, et al. VectorNet: Encoding HD maps and agent dynamics from vectorized representation[J]. arXiv preprint arXiv:2005.04259, 2020. [11] Zhao H, Gao J, Lan T, et al. Tnt: Target-driven trajectory prediction[J]. arXiv preprint arXiv:2008.08294, 2020.06 作者简介
炎亮、傅 壮、德恒、冬淳，均为美团无人车配送中心算法工程师。
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算法 自动驾驶 轨迹产生算法
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05 参考文献
[1] Alahi A, Goel K, Ramanathan V, et al. Social lstm: Human trajectory prediction in crowded spaces[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 961-971. [2] Gupta A, Johnson J, Fei-Fei L, et al. Social gan: Socially acceptable trajectories with generative adversarial networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 2255-2264. [3] Zhu Y, Qian D, Ren D, et al. StarNet: Pedestrian trajectory prediction using deep neural network in star topology[C]//Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. 2019: 8075-8080. [4] Chai Y, Sapp B, Bansal M, et al. Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction[J]. arXiv preprint arXiv:1910.05449, 2019. [5] Chang M F, Lambert J, Sangkloy P, et al. Argoverse: 3d tracking and forecasting with rich maps[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 8748-8757. [6] Liang J, Jiang L, Niebles J C, et al. Peeking into the future: Predicting future person activities and locations in videos[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 5725-5734. [7] Mohamed A, Qian K, Elhoseiny M, et al. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 14424-14432. [8] Liang M, Yang B, Hu R, et al. Learning lane graph representations for motion forecasting[C]//European Conference on Computer Vision. Springer, Cham, 2020: 541-556. [9] Huang Y, Bi H K, Li Z, et al. STGAT: Modeling spatial-temporal interactions for human trajectory prediction[C]//Proceedings of the IEEE International Conference on Computer Vision. 2019: 6272-6281. [10] Gao J, Sun C, Zhao H, et al. VectorNet: Encoding HD maps and agent dynamics from vectorized representation[J]. arXiv preprint arXiv:2005.04259, 2020. [11] Zhao H, Gao J, Lan T, et al. Tnt: Target-driven trajectory prediction[J]. arXiv preprint arXiv:2008.08294, 2020.06 作者简介
炎亮、傅 壮、德恒、冬淳，均为美团无人车配送中心算法工程师。
| 想阅读更多技术文章，请关注美团技术团队（meituantech）官方微信公众号。
| 在公众号菜单栏回复【2019年货】、【2018年货】、【2017年货】、【算法】等关键词，可查看美团技术团队历年技术文章合集。
