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4. Re:文献阅读报告 - Social LSTM:Human Trajectory Prediction in Crowded Spaces @sashawoo ucy数据集有官方的,但确实不容易找到,并且数据格式也要处理。我的social lstm代码分析博客中有附一个github仓库链接,那里面有处理好的ucy数据集。... --youzn99 5. Re:文献阅读报告 - Social LSTM:Human Trajectory...
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W. Choi. Probabilistic VehicleTrajectory Prediction over Occupancy Grid Map via Recurrent NeuralNetwork. arXiv preprint arXiv:1704.07049 (2017). [22] N. Lee, W. Choi, P. Vernaza, C. B.Choy, PHS Torr, and M. Chan[1]draker.Desire: Distant future prediction in dynamic scenes with inter[...
Social LSTM最早提出于文献 “Social LSTM: Human Trajectory Prediction in Crowded Spaces”,但经过资料查阅目前暂未找到原文献作者所提供的程序代码和数据,而在github上有许多针对该文献的实现版本代码。 本文接下来的实现代码来自https://github.com/xuerenlv/social-lstm-tf,代码语言为Python3,代码大体实现了原论文...
原文题目:Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs Ⅰ介绍 在复杂交通中部署的自动驾驶车辆需要平衡两个因素:车内乘客和周围人的安全,以及在不阻碍交通的情况下高效运行。车辆需要有自我决策的能力,例如,决定何时改变车道,通过没有信号的交叉口,或超过另一辆车,这就要求自...
https://www.researchgate.net/publication/311611429_Social_LSTM_Human_Trajectory_Prediction_in_Crowded_Spaceswww.researchgate.net/publication/311611429_Social_LSTM_Human_Trajectory_Prediction_in_Crowded_Spaces 可以看到,黑色agent的lstm隐状态受到周围点的影响,这种影响通过s-pooling输入到下一阶段的lstm。 h是...
Trajectory Prediction 行人轨迹预测涉及根据行人当前和过去的地理位置、行为以及周围环境来预测其未来位置。轨迹预测算法通常依赖于鸟瞰图(BEV)数据,并从俯视角度进行操作,这简化了目标之间相对距离的计算[12, 30, 31]。例如,社会LSTM使用专门的池化模块来考虑其他智能体的影响[30]。其他方法,如对抗网络[15]和MID算法...
A demonstration illustrating that STA-LSTM can capture and explain fine-grained lane-changing behaviors is also provided. The data and implementation of STA-LSTM can be found at <uri>https://github.com/leilin-research/VTP</uri>. 展开
3. Run experiments for Mutable Intention Filter integrated with the trained Warp LSTM, and perform evaluation on intention estimation and trajectory prediction. bash scripts/run_mif.sh rebil sh scripts/evaluate_intention_mif.sh rebil sh scripts/evaluate_trajectories_mif.sh rebil Note rebil is th...