[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …
Deep reinforcement learning for drone navigation using sensor data
Mobile robots such as unmanned aerial vehicles (drones) can be used for surveillance,
monitoring and data collection in buildings, infrastructure and environments. The importance …
monitoring and data collection in buildings, infrastructure and environments. The importance …
Drone navigation and avoidance of obstacles through deep reinforcement learning
Unmanned aerial vehicles (UAV) specifically drones have been used for surveillance,
shipping and delivery, wildlife monitoring, disaster management etc. The increase on the …
shipping and delivery, wildlife monitoring, disaster management etc. The increase on the …
Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
Deeppilot: A cnn for autonomous drone racing
LO Rojas-Perez, J Martinez-Carranza - Sensors, 2020 - mdpi.com
Autonomous Drone Racing (ADR) was first proposed in IROS 2016. It called for the
development of an autonomous drone capable of beating a human in a drone race. After …
development of an autonomous drone capable of beating a human in a drone race. After …
Deep convolutional neural network based autonomous drone navigation
K Amer, M Samy, M Shaker… - … Conference on Machine …, 2021 - spiedigitallibrary.org
This paper presents a novel approach for aerial drone autonomous navigation along
predetermined paths using only visual input form an onboard camera and without reliance …
predetermined paths using only visual input form an onboard camera and without reliance …
Deep reinforcement learning for vision-based navigation of UAVs in avoiding stationary and mobile obstacles
Unmanned Aerial Vehicles (UAVs), also known as drones, have advanced greatly in recent
years. There are many ways in which drones can be used, including transportation …
years. There are many ways in which drones can be used, including transportation …
A review of deep learning methods and applications for unmanned aerial vehicles
Deep learning is recently showing outstanding results for solving a wide variety of robotic
tasks in the areas of perception, planning, localization, and control. Its excellent capabilities …
tasks in the areas of perception, planning, localization, and control. Its excellent capabilities …
Drone deep reinforcement learning: A review
Unmanned Aerial Vehicles (UAVs) are increasingly being used in many challenging and
diversified applications. These applications belong to the civilian and the military fields. To …
diversified applications. These applications belong to the civilian and the military fields. To …
Deep drone racing: Learning agile flight in dynamic environments
Autonomous agile flight brings up fundamental challenges in robotics, such as coping with
unreliable state estimation, reacting optimally to dynamically changing environments, and …
unreliable state estimation, reacting optimally to dynamically changing environments, and …