Trajectory-Prediction Techniques for Unmanned Aerial Vehicles (UAVs): A Comprehensive Survey
Unmanned Aerial Vehicles (UAVs) have witnessed remarkable significance in diverse
sectors, ranging from environmental monitoring, infrastructure inspection, disaster response …
sectors, ranging from environmental monitoring, infrastructure inspection, disaster response …
Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory prediction
The objective of pedestrian trajectory prediction is to estimate the future paths of pedestrians
by leveraging historical observations, which plays a vital role in ensuring the safety of self …
by leveraging historical observations, which plays a vital role in ensuring the safety of self …
A Review of Trajectory Prediction Methods for the Vulnerable Road User
Predicting the trajectory of other road users, especially vulnerable road users (VRUs), is an
important aspect of safety and planning efficiency for autonomous vehicles. With recent …
important aspect of safety and planning efficiency for autonomous vehicles. With recent …
[HTML][HTML] Gatraj: A graph-and attention-based multi-agent trajectory prediction model
Trajectory prediction has been a long-standing problem in intelligent systems like
autonomous driving and robot navigation. Models trained on large-scale benchmarks have …
autonomous driving and robot navigation. Models trained on large-scale benchmarks have …
Adapting to length shift: Flexilength network for trajectory prediction
Trajectory prediction plays an important role in various applications including autonomous
driving robotics and scene understanding. Existing approaches mainly focus on developing …
driving robotics and scene understanding. Existing approaches mainly focus on developing …
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Abstract Language models have demonstrated impressive ability in context understanding
and generative performance. Inspired by the recent success of language foundation models …
and generative performance. Inspired by the recent success of language foundation models …
A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach
Z Li, H Liang, H Wang, X Zheng, J Wang… - Knowledge-Based …, 2023 - Elsevier
Accurate prediction of the future motion of surrounding vehicles is crucial for ensuring the
safety of motion planning in autonomous vehicles. However, it is challenging to perform …
safety of motion planning in autonomous vehicles. However, it is challenging to perform …
Progressive pretext task learning for human trajectory prediction
Human trajectory prediction is a practical task of predicting the future positions of
pedestrians on the road, which typically covers all temporal ranges from short-term to long …
pedestrians on the road, which typically covers all temporal ranges from short-term to long …
[PDF][PDF] Enhancing trajectory prediction through self-supervised waypoint distortion prediction
Trajectory prediction is an important task that involves modeling the indeterminate nature of
agents to forecast future trajectories given the observed trajectory sequences. The task of …
agents to forecast future trajectories given the observed trajectory sequences. The task of …
Simulating human mobility with a trajectory generation framework based on diffusion model
Most mobility modeling methods are designed to solve specific tasks, leading to questions
regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we …
regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we …