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Image Segmentation of Cabin Assembly Scene Based on Improved RGB-D Mask R-CNN
Yichen Fu;Junfeng Fan;Shiyu Xing;Zhe Wang;Fengshui Jing;Min Tan
Cabin pose measurement is one of the key procedures in the assembly and docking process of large cabins, which provides important feedback information for the subsequent docking control system. As the basis of cabin pose measurement, the accuracy and robustness of cabin assembly image segmentation are particularly important. However, traditional image segmentation method based on RGB sensor is ext...Show More
Pose measurement is a critical procedure for automation engineering. For a target with reflective surface, achieving effective pose measurement under the interference of light reflection while maintaining high precision remains a challenge. To address this, we propose a model-based pose measurement method using structured light vision. We equip structured light vision sensor with optical filters a...Show More
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results
Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang;Yixuan Yuan;Dingwen Zhang;Jinglin Zhang;Pengfei Zhu;Luc Van Gool;Junwei Han;Steven Hoi;Qinghua Hu;Ming Liu;Chong Cheng;Fanfan Liu;Guojin Cao;Guozhen Li;Hongkai Wang;Jianye He;Junfeng Wan;Qi Wan;Qi Zhao;Shuchang Lyu;Wenzhe Zhao;Xiaoqiang Lu;Xingkui Zhu;Yingjie Liu;Yixuan Lv;Yujing Ma;Yuting Yang;Zhe Wang;Zhenyu Xu;Zhipeng Luo;Zhimin Zhang;Zhiguang Zhang;Zihao Li;Zixiao Zhang
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Year: 2021 | Conference Paper |
Cited by: Papers (130)
Object detection on the drone faces a great diversity of challenges such as small object inference, background clutter and wide viewpoint. In contrast to traditional detection problem in computer vision, object detection in bird-like angle can not be transplanted directly from common-in-use methods due to special object texture in sky‘s view. However, due to the lack of a comprehensive data set, t...Show More
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results
Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang;Yixuan Yuan;Dingwen Zhang;Jinglin Zhang;Pengfei Zhu;Luc Van Gool;Junwei Han;Steven Hoi;Qinghua Hu;Ming Liu;Chong Cheng;Fanfan Liu;Guojin Cao;Guozhen Li;Hongkai Wang;Jianye He;Junfeng Wan;Qi Wan;Qi Zhao;Shuchang Lyu;Wenzhe Zhao;Xiaoqiang Lu;Xingkui Zhu;Yingjie Liu;Yixuan Lv;Yujing Ma;Yuting Yang;Zhe Wang;Zhenyu Xu;Zhipeng Luo;Zhimin Zhang;Zhiguang Zhang;Zihao Li;Zixiao Zhang
Year: 2021 | Conference Paper |
Analysis of the Total Orientation Workspace of a Type of n-PPPS Parallel Manipulator
2021 6th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
The total orientation workspace (TOW) is fundamental to the design and application of a parallel manipulator. Among various PM structures, a type of n-PPPS PMs, whose limbs consisted of three active prismatic joints and one passive spherical joint, is widely used in assembly tasks of jointing cabin sections. In this paper, the shape of the TOW of the type of n-PPPS PM is proved to be a cuboid. And...Show More
For multi-robot assembly of two large cabins, the pose measurement of cabin is indispensable. Traditionally, this is achieved by installing targets or markers on the cabins, making the process inefficient. To address this, a pose measurement method based on point cloud which can be readily collected by 3D vision sensor is proposed in this paper. The cylinder model of the cabin is firstly establish...Show More
An Efficient Calibration Method of Line Structured Light Vision Sensor in Robotic Eye-in-Hand System
Zhe Wang;Junfeng Fan;Fengshui Jing;Sai Deng;Mingyang Zheng;Min Tan
For line structured light vision sensor in robotic eye-in-hand system, the calibration of camera parameters, robot hand eye parameters and structured light plane parameters is an indispensable procedure before conducting 3-D measurement. Traditionally, these three sets of parameters are calibrated separately, making the calibration process complicated and inefficient. To address this, an efficient...Show More
Object Reconstruction with Deep Learning: A Survey
Zishu Gao;En Li;Guodong Yang;Zhe Wang;Yunong Tian;Zize Liang;Rui Guo;Shengchuan Li
2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
Year: 2019 | Conference Paper |
Cited by: Papers (2)
Object reconstruction is one of the most crucial branches of computer vision. With the development of deep learning, many tasks have achieved remarkable improvements in computer vision. 3D reconstruction with deep learning also has attracted much attention in recent years. Deep learning methods based on CNN-based and GAN-based architectures have been adopted for 3D object prediction. In addition, ...Show More
Object Pose Estimation Based on RGB-D Sensor for Cooperative Spray Painting Robot
Zhe Wang;Fengshui Jing;Junfeng Fan;Zhaoyang Liu;Yunong Tian;Zishu Gao
2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
Year: 2019 | Conference Paper |
For human-robot cooperative spray painting robot, offline programming based on predefined model of the unpainted object is a robust and efficient method for trajectory generation. To apply the programmed trajectory on the unpainted object, the relative pose between the object and the predefined model needs to be acquired. Nevertheless, acquiring an accurate estimation of the pose in spray painting...Show More
Canny edge detection is widely used in image processing. Conventional Canny edge detection is commonly realized in CPUs, GPUs or FPGA fabrics alone, but CPUs and GPUs are not suitable for low-power applications. And existing edge detection implementations on specific FPGA model have little compatibility with other models. In this paper, we propose an effective Canny edge detection system consist o...Show More
Weld Seam Type Recognition System Based on Structured Light Vision and Ensemble Learning
2018 IEEE International Conference on Mechatronics and Automation (ICMA)
Year: 2018 | Conference Paper |
Cited by: Papers (7)
In this paper, we propose a weld seam recognition system based on structured light vision and ensemble learning. The proposed system consists of an industrial robot, a structured light vision sensor and a computer. The recognition procedures of proposed system include weld seam feature extraction and weld seam classification. In feature extraction part, the input images are processed by the follow...Show More
Real-Time Action Recognition with Enhanced Motion Vector CNNs
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2016 | Conference Paper |
The deep two-stream architecture [23] exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculation of optical flow which prevents it to be real-time. This paper accelerates this architecture by replacing optical flow with motion vector which can be obtained directly from compressed videos without extra calcul...Show More
A Fast and Robust Pedestrian Detection Framework Based on Static and Dynamic Information
2012 IEEE International Conference on Multimedia and Expo
Year: 2012 | Conference Paper |
Cited by: Papers (5)
With the powerful development of pedestrian detection technique based on sliding-window and machine-learning, detection-based tracking systems have become increasingly popular. Most of these systems rely on existing static pedestrian detectors only despite the obvious potential motion information for people detection. This paper proposes a novel pedestrian detection framework fusing static and dyn...Show More
Crowd Density Estimation Based on Local Binary Pattern Co-Occurrence Matrix
2012 IEEE International Conference on Multimedia and Expo Workshops
Year: 2012 | Conference Paper |
Crowd density estimation is important for intelligent video surveillance. Many methods based on texture features have been proposed to solve this problem. Most of the existing algorithms only estimate crowd density on the whole image while ignore crowd density in local region. In this paper, we propose a novel texture descriptor based on Local Binary Pattern (LBP) Co-occurrence Matrix (LBPCM) for ...Show More
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