1 code implementation • 19 Mar 2022 • Jie Pan, Jingwei Huang, Gengdong Cheng, Yong Zeng
This paper proposes, implements, and evaluates a reinforcement learning (RL)-based computational framework for automatic mesh generation.
1 code implementation • 6 Jul 2020 • Boyu Zhou, Jie Pan, Fei Gao, Shaojie Shen
In this paper, we present RAPTOR, a robust and perception-aware replanning framework to support fast and safe flight.
Robotics
2 code implementations • 29 Dec 2019 • Boyu Zhou, Fei Gao, Jie Pan, Shaojie Shen
A path-guided optimization (PGO) approach is devised to tackle infeasible local minima, which improves the replanning success rate significantly.
Robotics
no code implementations • 12 Apr 2019 • Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu
This makes the damaged road areas more distinguishable from the road surface.
4 code implementations • 11 Jan 2019 • Tong Qin, Jie Pan, Shaozu Cao, Shaojie Shen
We validate the performance of our system on public datasets and through real-world experiments with multiple sensors.
4 code implementations • 11 Jan 2019 • Tong Qin, Shaozu Cao, Jie Pan, Shaojie Shen
We highlight that our system is a general framework, which can easily fuse various global sensors in a unified pose graph optimization.
no code implementations • ICLR 2018 • Bin Yu, Jie Pan, Jiaming Hu, Anderson Nascimento, Martine De Cock
Recently several different deep learning architectures have been proposed that take a string of characters as the raw input signal and automatically derive features for text classification.