no code implementations • 15 Dec 2023 • Tianchen Deng, Guole Shen, Tong Qin, Jianyu Wang, Wentao Zhao, Jingchuan Wang, Danwei Wang, Weidong Chen
To this end, we introduce PLGSLAM, a neural visual SLAM system capable of high-fidelity surface reconstruction and robust camera tracking in real-time.
no code implementations • 2 May 2023 • Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu, Yuxiang Guan, Zhongxue Gan
However, how to cognize the ``road'' for automated vehicles where there is no well-defined ``roads'' remains an open problem.
no code implementations • 28 Dec 2022 • Liheng Bian, Haoze Song, Lintao Peng, Xuyang Chang, Xi Yang, Roarke Horstmeyer, Lin Ye, Tong Qin, Dezhi Zheng, Jun Zhang
Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantum computing.
1 code implementation • 4 Jun 2021 • Tong Qin, Yuxin Zheng, Tongqing Chen, Yilun Chen, Qing Su
Finally, the semantic map is compressed and distributed to production cars, which use this map for localization.
2 code implementations • 3 Jul 2020 • Tong Qin, Tongqing Chen, Yilun Chen, Qing Su
In this paper, we exploit robust semantic features to build the map and localize vehicles in parking lots.
no code implementations • 2 Jun 2020 • Tong Qin, Zhen Chen, John Jakeman, Dongbin Xiu
To circumvent the difficulty presented by the non-autonomous nature of the system, our method transforms the solution state into piecewise integration of the system over a discrete set of time instances.
no code implementations • 11 Feb 2020 • Jun Hou, Tong Qin, Kailiang Wu, Dongbin Xiu
A novel correction algorithm is proposed for multi-class classification problems with corrupted training data.
no code implementations • 24 May 2019 • Kailiang Wu, Tong Qin, Dongbin Xiu
We present a numerical approach for approximating unknown Hamiltonian systems using observation data.
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 • 13 Nov 2018 • Tong Qin, Kailiang Wu, Dongbin Xiu
We demonstrate that the ResNet block can be considered as a one-step method that is exact in temporal integration.
no code implementations • 21 Aug 2018 • Kejie Qiu, Tong Qin, Hongwen Xie, Shaojie Shen
By introducing an additional constraint in the time domain, our monocular visual-inertial tracking system can obtain continuous six degree of freedom (6-DoF) pose estimation without scale ambiguity.
1 code implementation • 2 Aug 2018 • Tong Qin, Shaojie Shen
Visual and inertial fusion is a popular technology for 6-DOF state estimation in recent years.
no code implementations • ECCV 2018 • Peiliang Li, Tong Qin, Shaojie Shen
We propose a stereo vision-based approach for tracking the camera ego-motion and 3D semantic objects in dynamic autonomous driving scenarios.
1 code implementation • 22 May 2018 • Tong Qin, Ling Zhou, Dongbin Xiu
For neural networks (NNs) with rectified linear unit (ReLU) or binary activation functions, we show that their training can be accomplished in a reduced parameter space.
1 code implementation • 5 Mar 2018 • Tong Qin, Perliang Li, Shaojie Shen
In this paper, we propose a monocular visual-inertial SLAM system, which can relocalize camera and get the absolute pose in a previous-built map.
11 code implementations • 13 Aug 2017 • Tong Qin, Peiliang Li, Shaojie Shen
A monocular visual-inertial system (VINS), consisting of a camera and a low-cost inertial measurement unit (IMU), forms the minimum sensor suite for metric six degrees-of-freedom (DOF) state estimation.
Robotics