Artificial intelligence approaches for UAV navigation: Recent advances and future challenges
Unmanned aerial vehicles (UAVs) applications have increased in popularity in recent years
because of their ability to incorporate a wide variety of sensors while retaining cheap …
because of their ability to incorporate a wide variety of sensors while retaining cheap …
Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions
Remote sensing-based forest investigation and monitoring have become more affordable
and applicable in the past few decades. The current bottleneck limiting practical use of the …
and applicable in the past few decades. The current bottleneck limiting practical use of the …
Sloam: Semantic lidar odometry and mapping for forest inventory
This letter describes an end-to-end pipeline for tree diameter estimation based on semantic
segmentation and lidar odometry and mapping. Accurate mapping of this type of …
segmentation and lidar odometry and mapping. Accurate mapping of this type of …
Autonomous UAV trail navigation with obstacle avoidance using deep neural networks
This paper proposes a vision-based bike trail following approach with obstacle avoidance
using CNN (Convolutional Neural Network) for the UAV (Unmanned Aerial Vehicle). The …
using CNN (Convolutional Neural Network) for the UAV (Unmanned Aerial Vehicle). The …
Forest in situ observations through a fully automated under-canopy unmanned aerial vehicle
Close-range sensing has yet to attain the status of being a dependable source for in situ
forest information as the conventional field inventory. Each solution has its advantages and …
forest information as the conventional field inventory. Each solution has its advantages and …
Multi-task regression-based learning for autonomous unmanned aerial vehicle flight control within unstructured outdoor environments
BG Maciel-Pearson, S Akçay… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Increased growth in the global unmanned aerial vehicles (UAV)(drone) industry has
expanded possibilities for fully autonomous UAV applications. A particular application which …
expanded possibilities for fully autonomous UAV applications. A particular application which …
[HTML][HTML] Seamless integration of above-and under-canopy unmanned aerial vehicle laser scanning for forest investigation
Background Current automated forest investigation is facing a dilemma over how to achieve
high tree-and plot-level completeness while maintaining a high cost and labor efficiency …
high tree-and plot-level completeness while maintaining a high cost and labor efficiency …
Online deep reinforcement learning for autonomous UAV navigation and exploration of outdoor environments
BG Maciel-Pearson, L Marchegiani, S Akcay… - arXiv preprint arXiv …, 2019 - arxiv.org
With the rapidly growing expansion in the use of UAVs, the ability to autonomously navigate
in varying environments and weather conditions remains a highly desirable but as-of-yet …
in varying environments and weather conditions remains a highly desirable but as-of-yet …
RPNet: Rotational pooling net for efficient Micro Aerial Vehicle trail navigation
IO Agyemang, X Zhang, D Acheampong… - … Applications of Artificial …, 2022 - Elsevier
Abstract Smart agile Micro Aerial Vehicles are becoming ubiquitous in industrial
applications; however, their computational efficacy poses a constraint limiting their …
applications; however, their computational efficacy poses a constraint limiting their …
[HTML][HTML] Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems
The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …
extended applicability in diverse domains, including surveillance, commerce, military, and …