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 …
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …
robots are more commonly proposed to solve different tasks autonomously. The use of …
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 …
Holistic LSTM for pedestrian trajectory prediction
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 …
traffic injuries and improve pedestrian safety. It involves multiple sources of information and …
Social nce: Contrastive learning of socially-aware motion representations
Learning socially-aware motion representations is at the core of recent advances in multi-
agent problems, such as human motion forecasting and robot navigation in crowds. Despite …
agent problems, such as human motion forecasting and robot navigation in crowds. Despite …
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 …
A novel MP-LSTM method for ship trajectory prediction based on AIS data
The accurate prediction of ship trajectory has great significance in maritime transportation.
Among all the prediction methods, multi-step prediction has received increasing attention …
Among all the prediction methods, multi-step prediction has received increasing attention …
Artificial intelligence for long-term robot autonomy: A survey
Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …
domains including space, marine, air, field, road, and service robotics. They will assist us in …
An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …
deployment and standardize the upcoming wireless network generation. Artificial …
Ndt-transformer: Large-scale 3d point cloud localisation using the normal distribution transform representation
3D point cloud-based place recognition is highly demanded by autonomous driving in GPS-
challenged environments and serves as an essential component (ie loop-closure detection) …
challenged environments and serves as an essential component (ie loop-closure detection) …