Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Erliang Yao"'
Publikováno v:
Electronics Letters, Vol 60, Iss 6, Pp n/a-n/a (2024)
Abstract To improve the autonomous navigation capability of unmanned platforms, an accurate semi‐direct lidar‐inertial odometry algorithm with a new point cloud alignment evaluation metric is proposed. The lidar scan points are corrected through
Externí odkaz:
https://doaj.org/article/74cc442e665d4b0c9603fde897bdb285
Publikováno v:
Industrial Robot: the international journal of robotics research and application. 46:882-894
Purpose To realize stable and precise localization in the dynamic environments, the authors propose a fast and robust visual odometry (VO) approach with a low-cost Inertial Measurement Unit (IMU) in this study. Design/methodology/approach The propose
Publikováno v:
Applied Optics. 61:3793
Unsupervised deep learning methods have made significant progress in monocular visual odometry (VO) tasks. However, due to the complexity of the real-world scene, learning the camera ego-motion from the RGB information of monocular images in an unsup
Publikováno v:
Journal of Industrial and Management Optimization. 18:2109
Accurate camera pose estimation in dynamic scenes is an important challenge for visual simultaneous localization and mapping, and it is critical to reduce the effects of moving objects on pose estimation. To tackle this problem, a robust visual odome
Publikováno v:
Robotics and Autonomous Systems. 107:209-220
Localization in unknown environments is a fundamental requirement for robots. Egomotion estimation based on visual information is a hot research topic. However, most visual odometry (VO) or visual Simultaneous Localization and Mapping (vSLAM) approac
Publikováno v:
2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC).
We propose a novel visual odometry based on edge and intensity for RGB-D cameras. The proposed method is based on frame-to-keyframe tracking, which aligns the edges extracted by the Canny detector and minimizes photometric errors to estimate the came
Publikováno v:
DEStech Transactions on Materials Science and Engineering.
Publikováno v:
Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017).