|
|
|
|
|
Jier Xi and Xiufen Ye
There are many challenges in using side-scan sonar (SSS) images to detect objects. The challenge of object detection and recognition in sonar data is greater than in optical images due to the sparsity of detectable targets. The complexity of real-world u...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
ver más
|
|
|
|
|
|
|
|
|
|
|
Valery Bobkov, Antonina Shupikova and Alexander Inzartsev
The inspection of condition of underwater pipelines (UPs) based on autonomous underwater vehicles (AUVs) requires high accuracy of positioning while the AUV is moving along to the object being examined. Currently, acoustic, magnetometric, and visual mean...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guangyu Hou, Haihua Chen, Mingkun Jiang and Runxin Niu
Intelligent agriculture imposes higher requirements on the recognition and localization of fruit and vegetable picking robots. Due to its unique visual information and relatively low hardware cost, machine vision is widely applied in the recognition and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhangang Wang
The application of AR to explore augmented map representation has become a research hotspot due to the growing application of AR in maps and geographic information in addition to the rising demand for automated map interpretation. Taking the AR map as th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alfan Rizaldy Pratama Pratama, Bima Sena Bayu Dewantara, Dewi Mutiara Sari, Dadet Pramadihanto
Pág. 153 - 169
One of the most commonly faced tasks in industrial robots is bin picking. Much work has been done in this related topic is about grasping and picking an object from the piled bin but ignoring the recognition step in their pipeline. In this paper, a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qabas A. Hameed, Harith A. Hussein, Mohamed A. Ahmed, Mahmood M. Salih, Reem D. Ismael and Mohammed Basim Omar
Unexploded ordnance (UXO) is a worldwide problem and a long-term hazard because of its ability to harm humanity by remaining active and destructive decades after a conflict has concluded. In addition, the current UXO clearance methods mainly involve manu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roberta Vrskova, Robert Hudec, Patrik Kamencay and Peter Sykora
Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing interest in neural networks, there is also a rising interest in video classification. Object de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Paulina Zachar, Wojciech Ostrowski, Anna Platek-Zak and Zdzislaw Kurczynski
The dynamic development of deep learning methods in recent years has prompted the widespread application of these algorithms in the field of photogrammetry and remote sensing, especially in the areas of image recognition, classification, and object detec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chengda Lin, Fangzheng Hu, Junwen Peng, Jing Wang and Ruifang Zhai
Three-dimensional (3D) laser point cloud technology is an important research method in the field of agricultural remote sensing research. The collection and processing technology of terrestrial light detection and ranging (LiDAR) point cloud of crops has...
ver más
|
|
|
|
|
|