Arens, "On the reliability of lstm-mdl models for pedestrian trajectory prediction," VIIth Interna- tional Workshop on Representation, analysis and recognition of shape and motion FroM Image data (RFMI 2017), 2017.Hug, R.; Becker, S.; Hubner, W.; Arens, M. On the reliability of LSTM-...
文献及代码阅读报告 - SS-LSTM:A Hierarchical LSTM Model for Pedestrian Trajectory Prediction 概览 简述 SS-LSTM全称Social-Scene-LSTM,是一种分层的LSTM模型,在已有的考虑相邻路人之间影响的Social-LSTM模型之上额外增加考虑了行人背景的因素。SS-LSTM架构类似Seq2Seq,由3个Encoder生成的向量拼接后形成1个Decoder的...
原论文:A novel MP-LSTM method for ship trajectory prediction based on AIS data - ScienceDirect 论文介绍:GoogleScholar引用107 Ocean Engineering 工程技术大类2区(中科院) 总结: 对比实验很详细,但是…
https://datascience.stackexchange.com/questions/86615/encoder-decoder-lstm-for-trajectory-prediction
原文链接: https://cvgl.stanford.edu/papers/CVPR16_Social_LSTM.pdf使用每人一个LSTM模型并不能捕捉到邻居之间的互动。文章通过一种新的池化策略连接相邻的LSTM来解决这一问题。 将邻居的隐藏状态(以黄色、蓝色…
A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction 行人轨迹预测的位置速度时空注意LSTM模型 1. 引言 轨迹预测对于广泛的应用至关重要,例如在交通环境中预测易受伤害的道路用户的轨迹[1]和基于位置的服务[2],[3]。它也是高级驾驶员辅助系统(ADAS)和自动驾驶汽车的重要组成部分[...
(1) A novel unified network framework is proposed for cyclist trajectory prediction, which utilizes multiple interactions with the environment and the motion information. (2) Road features encoded by the LSTM model are designed to address the interaction with the road, static obstacles, etc. (3)...
Pedestrian trajectory prediction for surveillance video is one of the important research topics in the field of computer vision and a key technology of intelligent surveillance systems. Social relationship among pedestrians is a key factor influencing pedestrian walking patterns but was mostly ignored in ...
Given a hidden-state dimension D and neighborhood size, we construct atensorfor thetrajectory : is th hidden state of LSTM corresponding to theperson at is an indictor function to check ifis in thecell of the grid is the set of neighbors corresponding to person ...
本文的前题是只考虑基于公路中心线的横向位移以及沿着公路的加速减速,所以路的弧度并不影响模型。因此作者得以把每辆车的前后一定距离单独拿出来,看下这个区域里面其他车辆的相对位置。Convolutional Social Pooling for Vehicle Trajectory Prediction,来自 https://arxiv.org/pdf/1805.06771.pdfarxiv.org...