Predicting the future trajectories of pedestrians is a challenging problem that has a range of application, from crowd surveillance to autonomous driving. In literature, methods to approach pedestrian trajectory
This paper presents a novel approach for pedestrian trajectory prediction. In particular, we developed a new method based on an encoder鈥揹ecoder framework using bidirectional recurrent neural networks (BiRNN). The difficulty of incorporating social interactions into the model has been addressed thanks ...
Pedestrian trajectory prediction model based on DCT attention mechanism at 'yield to pedestrian' crosswalks Yuanzi XuRongjun ChengHang Yang
STAR利用TGConv(一种新颖的基于transformer的图卷积机制)建模图内人群交互。图间的时间依赖性由独立的时间transformer建模。STAR通过在空间和时间transformer之间交错来捕捉复杂的时空交互。为了校正时间预测,以应对消失的行人的长期影响,我们引入了一个可读可写的外部存储模块,该模块由时间transformer持续更新。我们表明,仅...
Social-stgcnn: a social spatio-temporal graph convolutional neural network for human trajectory prediction View more references Cited by (125) A Comprehensive Survey on Deep Graph Representation Learning 2024, Neural Networks EGNN: Graph structure learning based on evolutionary computation helps more in ...
A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction,程序员大本营,技术文章内容聚合第一站。
Stift Vorau, Austria, February 6–8, 2019Situation-Aware Pedestrian Trajectory Prediction with Spatio-TemporalAttention ModelSirin Haddad Meiqing Wu He WeiSiew Kei LamNanyang Technological University (NTU)50 Nanyang Ave, Singapore{siri0005,wei005}@e.ntu.edu.sg {meiqingwu,assklam}@ntu.edu.sg...
Accurately predicting the future trajectory of pedestrians is critical for tasks such as autonomous driving and robot navigation. Previous methods for pedestrian trajectory prediction dealt with social interaction and pedestrian movement factors either concurrently or sequentially, neglecting the link between th...
This article introduces pedestrian trajectory prediction, which is a crucial step in the perception of autonomous driving. The controller system should predict the person’s motion before making a decision. Pedestrian trajectory prediction can be divided
Trajectory Unified Transformer for Pedestrian Trajectory Prediction Liushuai Shi1 Le Wang1∗ Sanping Zhou1 Gang Hua2 1National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, Institute of ...