Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions
D Mahmud, H Hajmohamed… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) are crucial for the development and operation of
smart cities, addressing key challenges in efficiency, productivity, and environmental …
smart cities, addressing key challenges in efficiency, productivity, and environmental …
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 …
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 …
TrajLearn: Trajectory Prediction Learning using Deep Generative Models
Trajectory prediction aims to estimate an entity's future path using its current position and
historical movement data, benefiting fields like autonomous navigation, robotics, and human …
historical movement data, benefiting fields like autonomous navigation, robotics, and human …
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 …
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 …