Traj-llm: A new exploration for empowering trajectory prediction with pre-trained large language models
Predicting the future trajectories of dynamic traffic actors is a cornerstone task in
autonomous driving. Though existing notable efforts have resulted in impressive …
autonomous driving. Though existing notable efforts have resulted in impressive …
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations
Learning to forecast the trajectories of intelligent agents like pedestrians has caught more
researchers' attention. Despite researchers' efforts, it remains a challenge to accurately …
researchers' attention. Despite researchers' efforts, it remains a challenge to accurately …
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
Pedestrian trajectory prediction is crucial for several applications such as robotics and self-
driving vehicles. Significant progress has been made in the past decade thanks to the …
driving vehicles. Significant progress has been made in the past decade thanks to the …
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction
Understanding and anticipating human movement has become more critical and
challenging in diverse applications such as autonomous driving and surveillance. The …
challenging in diverse applications such as autonomous driving and surveillance. The …
FORT-RAJ: A Hybrid Fisheye Model for Real-Time Pedestrian Trajectory Prediction
Y Amrouche, S Bouzayane… - 2024 9th International …, 2024 - ieeexplore.ieee.org
This paper introduces FORT-RAJ, a hybrid model designed for pedestrian trajectory
prediction in the context of top-view fisheye images. To achieve this, FORT-RAJ merges the …
prediction in the context of top-view fisheye images. To achieve this, FORT-RAJ merges the …
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
P Singh - The Thirty-eight Conference on Neural Information … - openreview.net
Pedestrian trajectory prediction is crucial for several applications such as robotics and self-
driving vehicles. Significant progress has been made in the past decade thanks to the …
driving vehicles. Significant progress has been made in the past decade thanks to the …