most citedLAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

6 citations · 12 across the 6 of their papers we have counts for

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cs.CV20243 cited

Gap Completion in Point Cloud Scene occluded by Vehicles using SGC-Net

Yu Feng, Yiming Xu, Yan Xia +2

Recent advances in mobile mapping systems have greatly enhanced the efficiency and convenience of acquiring urban 3D data. These systems utilize LiDAR sensors mounted on vehicles t…

cs.CV2024

CoSense3D: an Agent-based Efficient Learning Framework for Collective Perception

Yunshuang Yuan, Monika Sester

Collective Perception has attracted significant attention in recent years due to its advantage for mitigating occlusion and expanding the field-of-view, thereby enhancing reliabili…

cs.CV2024

Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting

Yiming Xu, Hao Cheng, Monika Sester

In autonomous driving tasks, trajectory prediction in complex traffic environments requires adherence to real-world context conditions and behavior multimodalities. Existing method…

cs.CV20236 cited

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

Mengmeng Liu, Hao Cheng, Lin Chen +5

Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints. Existing methods typically rely on…

cs.CV2023

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

Weicheng Zhang, Hao Cheng, Fatema T. Johora +1

Predicting trajectories of pedestrians based on goal information in highly interactive scenes is a crucial step toward Intelligent Transportation Systems and Autonomous Driving. Th…