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 …
A machine learning approach to visual perception of forest trails for mobile robots
We study the problem of perceiving forest or mountain trails from a single monocular image
acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused …
acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused …
A deep reinforcement learning strategy for UAV autonomous landing on a moving platform
The use of multi-rotor UAVs in industrial and civil applications has been extensively
encouraged by the rapid innovation in all the technologies involved. In particular, deep …
encouraged by the rapid innovation in all the technologies involved. In particular, deep …
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 …
A deep reinforcement learning technique for vision-based autonomous multirotor landing on a moving platform
Deep learning techniques for motion control have recently been qualitatively improved,
since the successful application of Deep Q-Learning to the continuous action domain in Atari …
since the successful application of Deep Q-Learning to the continuous action domain in Atari …
Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs
Abstract Unmanned Aerial Vehicles (UAVs), which can operate autonomously in dynamic
and complex environments, are becoming increasingly common. Deep learning techniques …
and complex environments, are becoming increasingly common. Deep learning techniques …
Row anchor selection classification method for early-stage crop row-following
The field navigation tasks of agricultural robots are the basis for implementing field
management projects in the early stages of seedlings guided by precision agriculture …
management projects in the early stages of seedlings guided by precision agriculture …
[PDF][PDF] 引入视觉注意机制的目标跟踪方法综述
黎万义， 王鹏， 乔红 - 自动化学报, 2014 - aas.net.cn
摘要视觉跟踪在无人飞行器, 移动机器人, 智能监控等领域有着广泛的应用,
但由于目标外观和环境的变化, 以及背景干扰等因素的存在, 使得复杂场景下的鲁棒实时的目标 …
但由于目标外观和环境的变化, 以及背景干扰等因素的存在, 使得复杂场景下的鲁棒实时的目标 …
An autonomous surface-aerial marsupial robotic team for riverine environmental monitoring: Benefiting from coordinated aerial, underwater, and surface level …
This paper presents RIVERWATCH, an autonomous surface-aerial marsupial robotic team
for riverine environmental monitoring. The robotic system is composed of an Autonomous …
for riverine environmental monitoring. The robotic system is composed of an Autonomous …
Virtual-to-real-world transfer learning for robots on wilderness trails
Robots hold promise in many scenarios involving outdoor use, such as search-and-rescue,
wildlife management, and collecting data to improve environment, climate, and weather …
wildlife management, and collecting data to improve environment, climate, and weather …