1 code implementation • 8 May 2024 • Peng Yin, Jianhao Jiao, Shiqi Zhao, Lingyun Xu, Guoquan Huang, Howie Choset, Sebastian Scherer, Jianda Han
We conclude with a discussion on PR's future directions, accompanied by a summary of the literature covered and access to our open-source library, available to the robotics community at: https://github. com/MetaSLAM/GPRS.
2 code implementations • 6 Apr 2024 • Bonan Liu, Guoyang Zhao, Jianhao Jiao, Guang Cai, Chengyang Li, Handi Yin, Yuyang Wang, Ming Liu, Pan Hui
A Colored point cloud, as a simple and efficient 3D representation, has many advantages in various fields, including robotic navigation and scene reconstruction.
1 code implementation • 17 Mar 2023 • Jianhao Jiao, Feiyi Chen, Hexiang Wei, Jin Wu, Ming Liu
This paper proposes an automatic checkerboard-based approach to calibrate extrinsics between a LiDAR and a frame/event camera, where four contributions are presented.
1 code implementation • 20 Apr 2021 • Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu
This paper investigates two typical image-type representations for event camera-based tracking: time surface (TS) and event map (EM).
no code implementations • 24 Mar 2021 • Jianhao Jiao, Yilong Zhu, Haoyang Ye, Huaiyang Huang, Peng Yun, Linxin Jiang, Lujia Wang, Ming Liu
Modern LiDAR-SLAM (L-SLAM) systems have shown excellent results in large-scale, real-world scenarios.
1 code implementation • 9 Nov 2020 • Huaiyang Huang, Haoyang Ye, Jianhao Jiao, Yuxiang Sun, Ming Liu
To take the advantages of both, in this work, we present a complete visual inertial localization system based on a hybrid map representation to reduce the computational cost and increase the positioning accuracy.
2 code implementations • 27 Oct 2020 • Jianhao Jiao, Haoyang Ye, Yilong Zhu, Ming Liu
This paper proposes a system to achieve robust and simultaneous extrinsic calibration, odometry, and mapping for multiple LiDARs.
no code implementations • 2 Oct 2020 • M Usman Maqbool Bhutta, Shoaib Aslam, Peng Yun, Jianhao Jiao, Ming Liu
We present a robust semi-supervised learning framework for intelligent micro-scaled localization and classification of defects on a 16K pixel image of smartphone glass.
2 code implementations • 29 Sep 2020 • Jianhao Jiao, Peng Yun, Lei Tai, Ming Liu
To minimize the detrimental effect of extrinsic perturbation, we propagate an uncertainty prior on each point of input point clouds, and use this information to boost an approach for 3D geometric tasks.
no code implementations • 16 Apr 2020 • Tianyu Liu, Qinghai Liao, Lu Gan, Fulong Ma, Jie Cheng, Xupeng Xie, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao Jiao, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu
Moreover, many countries have imposed tough lockdown measures to reduce the virus transmission (e. g., retail, catering) during the pandemic, which causes inconveniences for human daily life.
no code implementations • 7 Jun 2019 • Rui Fan, Jianhao Jiao, Haoyang Ye, Yang Yu, Ioannis Pitas, Ming Liu
Over the past decade, many research articles have been published in the area of autonomous driving.
no code implementations • 13 May 2019 • Jianhao Jiao, Yang Yu, Qinghai Liao, Haoyang Ye, Ming Liu
Multiple LiDARs have progressively emerged on autonomous vehicles for rendering a wide field of view and dense measurements.
no code implementations • 27 Apr 2019 • Jianhao Jiao, Qinghai Liao, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu
Multiple lidars are prevalently used on mobile vehicles for rendering a broad view to enhance the performance of localization and perception systems.
1 code implementation • 18 Apr 2019 • Rui Fan, Mohammud Junaid Bocus, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu
In this paper, we propose a novel road crack detection algorithm based on deep learning and adaptive image segmentation.
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.
no code implementations • 7 Mar 2019 • Jianhao Jiao, Rui Fan, Han Ma, Ming Liu
We apply the designed model and proposed an algorithm for detecting lanes by formulating it as the shortest path problem.
no code implementations • 28 Aug 2018 • Han Ma, Yixin Ma, Jianhao Jiao, M Usman Maqbool Bhutta, Mohammud Junaid Bocus, Lujia Wang, Ming Liu, Rui Fan
Lane detection is very important for self-driving vehicles.