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ORCIDQiangqiang Huang
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2020 – today
- 2024
[j5]Qiangqiang Huang, Ruilin Yao
, Xiaoqiang Lu, Jishuai Zhu, Shengwu Xiong, Yaxiong Chen:
Oriented Object Detector With Gaussian Distribution Cost Label Assignment and Task-Decoupled Head. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)- 2023
- [j4]Yin Ye, Qiangqiang Huang, Yi Rong, Xiaohan Yu, Weiji Liang, Yaxiong Chen, Shengwu Xiong:
Field detection of small pests through stochastic gradient descent with genetic algorithm. Comput. Electron. Agric. 206: 107694 (2023) - [j3]Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. IEEE Robotics Autom. Lett. 8(5): 2756-2763 (2023) - [j2]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. IEEE Trans. Robotics 39(2): 1458-1475 (2023) - [c4]Qiangqiang Huang, John J. Leonard:
GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM. IROS 2023: 9183-9190 - [i7]Qiangqiang Huang, John J. Leonard:
GAPSLAM: Blending Gaussian Approximation and Particle Filters for Real-Time Non-Gaussian SLAM. CoRR abs/2303.14283 (2023) - 2022
- [j1]Qiangqiang Huang, Alan Papalia, John J. Leonard:
Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs. IEEE Robotics Autom. Lett. 7(4): 9232-9239 (2022) - [i6]Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. CoRR abs/2211.01513 (2022) - 2021
- [c3]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. ICRA 2021: 1095-1102 - [c2]Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard:
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. IROS 2021: 5432-5439 - [c1]Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard:
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. IROS 2021: 7639-7646 - [i5]Qiangqiang Huang, Can Pu, Dehann Fourie, Kasra Khosoussi, Jonathan P. How, John J. Leonard:
NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. CoRR abs/2105.05045 (2021) - [i4]Ziqi Lu, Qiangqiang Huang, Kevin J. Doherty, John J. Leonard:
Consensus-Informed Optimization Over Mixtures for Ambiguity-Aware Object SLAM. CoRR abs/2107.09265 (2021) - [i3]Jiahui Fu, Qiangqiang Huang, Kevin J. Doherty, Yue Wang, John J. Leonard:
A Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM. CoRR abs/2108.01225 (2021) - [i2]Qiangqiang Huang, Alan Papalia, John J. Leonard:
On Reference Solutions to Non-Gaussian SLAM Factor Graphs. CoRR abs/2109.10871 (2021) - [i1]Qiangqiang Huang, Can Pu, Kasra Khosoussi, David M. Rosen, Dehann Fourie, Jonathan P. How, John J. Leonard:
Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. CoRR abs/2110.00876 (2021)
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