6 citations · 13 across the 6 of their papers we have counts for
7 papers
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu, Xinyu Mao, Yuqi Fang +2
With the rapid development of machine learning, autonomous driving has become a hot issue, making urgent demands for more intelligent perception and planning systems. Self-driving…
Learning-based Fast Path Planning in Complex Environments
Jianbang Liu, Baopu Li, Tingguang Li +3
In this paper, we present a novel path planning algorithm to achieve fast path planning in complex environments. Most existing path planning algorithms are difficult to quickly fin…
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
Fan Bai, Fei Meng, Jianbang Liu +2
Non-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping. It needs…
A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition
Jianbang Liu, Yuqi Fang, Delong Zhu +3
Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention, since they can substitute human workers…
Conditional Generative Adversarial Networks for Optimal Path Planning
Nachuan Ma, Jiankun Wang, Max Q. -H. Meng
Path planning plays an important role in autonomous robot systems. Effective understanding of the surrounding environment and efficient generation of optimal collision-free path ar…
Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments
Jiahui Lin, Tong Zhou, Delong Zhu +2
This paper presents a search-based partial motion planner to generate dynamically feasible trajectories for car-like robots in highly dynamic environments. The planner searches for…