activity
20192023
most citedMacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction

84 citations · 209 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023★ 53 cited

AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation

Haojia Li, Haokun Wang, Chen Feng +3

The robotics community is increasingly interested in autonomous aerial transportation. Unmanned aerial vehicles with suspended payloads have advantages over other systems, includin…

cs.RO2023★ 25 cited

FC-Planner: A Skeleton-guided Planning Framework for Fast Aerial Coverage of Complex 3D Scenes

Chen Feng, Haojia Li, Mingjie Zhang +3

3D coverage path planning for UAVs is a crucial problem in diverse practical applications. However, existing methods have shown unsatisfactory system simplicity, computation effici…

cs.CV2023★ 84 cited

MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction

Chen Feng, Hangning Zhou, Huadong Lin +5

Predicting the future behavior of agents is a fundamental task in autonomous vehicle domains. Accurate prediction relies on comprehending the surrounding map, which significantly r…

cs.RO2023★ 31 cited

PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction

Chen Feng, Haojia Li, Fei Gao +2

Autonomous UAV path planning for 3D reconstruction has been actively studied in various applications for high-quality 3D models. However, most existing works have adopted explore-t…

cs.CV2022★ 8 cited

TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction

Yuting Wang, Hangning Zhou, Zhigang Zhang +10

This technical report presents an effective method for motion prediction in autonomous driving. We develop a Transformer-based method for input encoding and trajectory prediction.…

cs.LG2019★ 8 cited

Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter

Xi Xiong, Kaan Ozbay, Li Jin +1

Modern intelligent transportation systems provide data that allow real-time dynamic demand prediction, which is essential for planning and operations. The main challenge of predict…