no code implementations • 11 Feb 2022 • Feilong Wang, Yuan Hong, Jeff Ban
Accurate and robust localization is crucial for supporting high-level driving automation and safety.
no code implementations • 4 Dec 2019 • Feilong Wang, Jingxing Wang, Jinzhou Cao, Cynthia Chen, Xuegang, Ban
Passively-generated data, such as GPS data and cellular data, bring tremendous opportunities for human mobility analysis and transportation applications.
Applications Signal Processing
1 code implementation • 11 Jan 2019 • Shenglan Liu, Dong Jiang, Lin Feng, Feilong Wang, Zhanbo Feng, Xiang Liu, Shuai Guo, Bingjun Li, Yuchen Cong
We finally design a Rubik's cube robot and construct a dataset to illustrate the efficiency and effectiveness of our online methods and to indicate the ineffectiveness of offline method by color drifting in our dataset.
no code implementations • 30 Oct 2017 • Lin Feng, Shuliang Xu, Feilong Wang, Shenglan Liu
Extreme learning machine (ELM) is a new single hidden layer feedback neural network.
no code implementations • 24 Mar 2017 • Shenglan Liu, Muxin Sun, Wei Wang, Feilong Wang
In this paper, we use Kinect and propose a feature graph fusion (FGF) for robot recognition.
no code implementations • 11 Mar 2017 • Shenglan Liu, Jun Wu, Lin Feng, Feilong Wang
This paper proposed a new explicit nonlinear dimensionality reduction using neural networks for image retrieval tasks.