Simulating the flight path of the UAV prior to sending it out on a mission can assist with understanding the topology and terrain. To gain an overview and 2-D perspective of the region, view the locations of the Mauna Loa Baseline Observatory and the Mauna Loa Volcano in a geographic axes.

This survey presents recent advancements in 2D object detection for the case of UAVs, focusing on the differences, strategies, and trade-offs between the generic problem of object detection, and the adaptation of such solutions for operations of the UAV.

This benchmark focuses on UAV visual localization under Low-altitude Multi-view observation condition using the 2.5D aerial or satellite reference maps. The visual localization is mainly achieved via a unified framework combining image retrieval, image …

In this article, we propose a novel two-dimensional (2D)-DOA auxiliary framework for anonymous UAV localization. At its core, this framework relies on measuring 2D-DOA using a monostatic multiple-input–multiple-output (MIMO) radar configured with …

Dec 12, 2024 · In this study, an unmanned aerial vehicle (UAV)-mounted two-dimensional laser Doppler velocimeter was developed and investigated, and a relevant drone flight navigation and positioning experiment was carried out.

Drone 2D path planning, object detection and objects geo-localization for search and rescue applications. Topics

Dec 31, 2024 · The proposed system for real-time 2D mapping using UAVs begins with sequential image capture, where the UAV autonomously captures highresolution images at regular intervals while following a predefined flight path.

3 days ago · In this paper, we propose EPIC (E xploring on P o I nt C louds), a lightweight LiDAR-based UAV exploration framework that directly exploits point cloud data to explore large-scale environments.Our key idea is to maintain a compact yet informative representation, termed the observation map, which is derived directly from the quality of point clouds.

To effectively deal with dense obstacles and kinematic constraints, a novel two-level optimization algorithm for unmanned aerial vehicles (UAVs) in 2D maps, called as Spherical Expansion-Proximal Policy Optimization (SE-PPO), is proposed in this paper.

May 10, 2022 · To solve the model mismatch problem of UAV antenna arrays, this paper applies a sparsity-based interference plus noise covariance matrix reconstruction technique.