5 papers · 1 filter
MUSCLE-NET: Predicted-Multiscale-Aware Network for Pedestrian Trajectory Forecasting
Yu Liu, Ming Huang, Xiao Ren +3
Accurate pedestrian trajectory prediction is essential for safe navigation in autonomous driving and intelligent transportation systems. Despite substantial progress made by recent…
GSM-GS: Geometry-Constrained Single and Multi-view Gaussian Splatting for Surface Reconstruction
Xiao Ren, Yu Liu, Ning An +3
Recently, 3D Gaussian Splatting has emerged as a prominent research direction owing to its ultrarapid training speed and high-fidelity rendering capabilities. However, the unstruct…
Occlusion-Aware Diffusion Model for Pedestrian Intention Prediction
Yu Liu, Zhijie Liu, Zedong Yang +2
Predicting pedestrian crossing intentions is crucial for the navigation of mobile robots and intelligent vehicles. Although recent deep learning-based models have shown significant…
Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction
Yu Liu, Zhijie Liu, Xiao Ren +2
Predicting pedestrian motion trajectories is critical for the path planning and motion control of autonomous vehicles. Recent diffusion-based models have shown promising results in…
Intention Enhanced Diffusion Model for Multimodal Pedestrian Trajectory Prediction
Yu Liu, Zhijie Liu, Xiao Ren +2
Predicting pedestrian motion trajectories is critical for path planning and motion control of autonomous vehicles. However, accurately forecasting crowd trajectories remains a chal…