3 citations · 4 across the 5 of their papers we have counts for
4 papers
PLUTO: Pushing the Limit of Imitation Learning-based Planning for Autonomous Driving
Jie Cheng, Yingbing Chen, Qifeng Chen
We present PLUTO, a powerful framework that pushes the limit of imitation learning-based planning for autonomous driving. Our improvements stem from three pivotal aspects: a longit…
Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography
Bowen Yang, Jie Cheng, Bohuan Xue +2
Navigation in complex 3D scenarios requires appropriate environment representation for efficient scene understanding and trajectory generation. We propose a highly efficient and ex…
Rethinking Imitation-based Planner for Autonomous Driving
Jie Cheng, Yingbing Chen, Xiaodong Mei +3
In recent years, imitation-based driving planners have reported considerable success. However, due to the absence of a standardized benchmark, the effectiveness of various designs…
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
Jie Cheng, Xiaodong Mei, Ming Liu
This study explores the application of self-supervised learning (SSL) to the task of motion forecasting, an area that has not yet been extensively investigated despite the widespre…