Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
Pedestrian models for autonomous driving part ii: high-level models of human behavior
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
Human trajectory forecasting in crowds: A deep learning perspective
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 …
owing to its numerous real-world applications: evacuation situation analysis, deployment of …
State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …
increasingly widespread testing of fully autonomous vehicles on public roads, where …
Diverse human motion prediction guided by multi-level spatial-temporal anchors
Predicting diverse human motions given a sequence of historical poses has received
increasing attention. Despite rapid progress, existing work captures the multi-modal nature …
increasing attention. Despite rapid progress, existing work captures the multi-modal nature …
Stochastic multi-person 3d motion forecasting
This paper aims to deal with the ignored real-world complexities in prior work on human
motion forecasting, emphasizing the social properties of multi-person motion, the diversity of …
motion forecasting, emphasizing the social properties of multi-person motion, the diversity of …
A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites
Predicting workers' trajectories on unstructured and dynamic construction sites is critical to
workplace safety yet remains challenging. Existing prediction methods mainly rely on entity …
workplace safety yet remains challenging. Existing prediction methods mainly rely on entity …
Deep learning for vision-based prediction: A survey
A Rasouli - arxiv preprint arxiv:2007.00095, 2020 - arxiv.org
Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …
driving, surveillance, human-robot interaction, weather prediction. The objective of this …
Human motion prediction using adaptable recurrent neural networks and inverse kinematics
Human motion prediction, especially arm prediction, is critical to facilitate safe and efficient
human-robot collaboration (HRC). This letter proposes a novel human motion prediction …
human-robot collaboration (HRC). This letter proposes a novel human motion prediction …
Research on quantum cognition in autonomous driving
Q Song, W Wang, W Fu, Y Sun, D Wang, Z Gao - Scientific reports, 2022 - nature.com
Autonomous vehicles for the intention of human behavior of the estimated traffic participants
and their interaction is the main problem in automatic driving system. Classical cognitive …
and their interaction is the main problem in automatic driving system. Classical cognitive …