Directional Statistics for 3D Model-Based UAV Tracking
We present a vision system based on a monocular camera to track the 3D position and orientation of an Unmanned Aerial Vehicle (UAV) during the landing process aboard a ship. The proposed method uses a 3D model-based approach based on a Particle Filter (PF) with proposal distributions given by an Uns...
Main Authors: | Nuno Pessanha Santos, Victor Lobo, Alexandre Bernardino |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8999508/ |
Similar Items
-
Fixed-Wing Unmanned Aerial Vehicle 3D-Model-Based Tracking for Autonomous Landing
by: Nuno Pessanha Santos, et al.
Published: (2023-03-01) -
Motion Estimation by Hybrid Optical Flow Technology for UAV Landing in an Unvisited Area
by: Hsiu-Wen Cheng, et al.
Published: (2019-03-01) -
Vision-Based Target Detection and Tracking System for a Quadcopter
by: Shicheng Wu, et al.
Published: (2021-01-01) -
TMDiMP: Temporal Memory Guided Discriminative Tracker for UAV Object Tracking
by: Zheng Yang, et al.
Published: (2022-12-01) -
Vehicle Routing Problem When Using UAVs
by: Iryna Norba
Published: (2021-12-01)