Qiangqiang Huang

According to our database, Qiangqiang Huang authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Optimizing Fiducial Marker Placement for Improved Visual Localization.

Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard

IEEE Robotics Autom. Lett., May, 2023

Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.

Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard

IEEE Trans. Robotics, April, 2023

Field detection of small pests through stochastic gradient descent with genetic algorithm.

Yin Ye, Qiangqiang Huang, Yi Rong, Xiaohan Yu, Weiji Liang, Yaxiong Chen, Shengwu Xiong

Comput. Electron. Agric., March, 2023

GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM.

Qiangqiang Huang, John J. Leonard

IROS, 2023

2022

Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs.

Qiangqiang Huang, Alan Papalia, John J. Leonard

IEEE Robotics Autom. Lett., 2022

2021

Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows.

Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard

CoRR, 2021

On Reference Solutions to Non-Gaussian SLAM Factor Graphs.

Qiangqiang Huang, Alan Papalia, John J. Leonard

CoRR, 2021

Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM.

Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM.

Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows.

Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard

Proceedings of the IEEE International Conference on Robotics and Automation, 2021