Human motion trajectory prediction: A survey

A Rudenko, L Palmieri, M Herman… - … Journal of Robotics …, 2020 - journals.sagepub.com
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Review of pedestrian trajectory prediction methods: Comparing deep learning and knowledge-based approaches

R Korbmacher, A Tordeux - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …

Human trajectory forecasting in crowds: A deep learning perspective

P Kothari, S Kreiss, A Alahi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Since the past few decades, human trajectory forecasting has been a field of active research
owing to its numerous real-world applications: evacuation situation analysis, deployment of …

Sophie: An attentive gan for predicting paths compliant to social and physical constraints

A Sadeghian, V Kosaraju… - Proceedings of the …, 2019 - openaccess.thecvf.com
This paper addresses the problem of path prediction for multiple interacting agents in a
scene, which is a crucial step for many autonomous platforms such as self-driving cars and …

A survey on long short-term memory networks for time series prediction

B Lindemann, T Müller, H Vietz, N Jazdi, M Weyrich - Procedia Cirp, 2021 - Elsevier
Recurrent neural networks and exceedingly Long short-term memory (LSTM) have been
investigated intensively in recent years due to their ability to model and predict nonlinear …

Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction

A Rasouli, I Kotseruba, T Kunic… - Proceedings of the …, 2019 - openaccess.thecvf.com
Pedestrian behavior anticipation is a key challenge in the design of assistive and
autonomous driving systems suitable for urban environments. An intelligent system should …

Intention-aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles

X Chen, H Zhang, F Zhao, Y Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicle trajectory prediction is a keystone for the application of the internet of vehicles (IoV).
With the help of deep learning and big data, it is possible to understand the between-vehicle …

Holistic LSTM for pedestrian trajectory prediction

R Quan, L Zhu, Y Wu, Y Yang - IEEE transactions on image …, 2021 - ieeexplore.ieee.org
Accurate predictions of future pedestrian trajectory could prevent a considerable number of
traffic injuries and improve pedestrian safety. It involves multiple sources of information and …

Recursive social behavior graph for trajectory prediction

J Sun, Q Jiang, C Lu - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Social interaction is an important topic in human trajectory prediction to generate plausible
paths. In this paper, we present a novel insight of group-based social interaction model to …

Eigentrajectory: Low-rank descriptors for multi-modal trajectory forecasting

I Bae, J Oh, HG Jeon - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Capturing high-dimensional social interactions and feasible futures is essential for
predicting trajectories. To address this complex nature, several attempts have been devoted …