The UAV path coverage algorithm based on the greedy strategy and ant colony optimization
Y Jia, S Zhou, Q Zeng, C Li, D Chen, K Zhang, L Liu… - Electronics, 2022 - mdpi.com
Today, the development of unmanned aerial vehicles (UAVs) has attracted significant
attention in both civil and military fields due to their flight flexibility in complex and dangerous …
attention in both civil and military fields due to their flight flexibility in complex and dangerous …
Autonomous navigation of robots: optimization with DQN
Featured Application The application of “Autonomous Navigation of Robots: Optimization
with DQN” involves using reinforcement learning techniques to optimize the navigation of …
with DQN” involves using reinforcement learning techniques to optimize the navigation of …
Autonomous driving control using the ddpg and rdpg algorithms
CC Chang, J Tsai, JH Lin, YM Ooi - Applied Sciences, 2021 - mdpi.com
Recently, autonomous driving has become one of the most popular topics for smart vehicles.
However, traditional control strategies are mostly rule-based, which have poor adaptability …
However, traditional control strategies are mostly rule-based, which have poor adaptability …
Event-based motion capture system for online multi-quadrotor localization and tracking
Motion capture systems are crucial in developing multi-quadrotor systems due to their ability
to provide fast and accurate ground truth measurements for tracking and control. This paper …
to provide fast and accurate ground truth measurements for tracking and control. This paper …
Multiple UAVs path planning based on deep reinforcement learning in communication denial environment
Y Xu, Y Wei, K Jiang, D Wang, H Deng - Mathematics, 2023 - mdpi.com
In this paper, we propose a C51-Duel-IP (C51 Dueling DQN with Independent Policy)
dynamic destination path-planning algorithm to solve the problem of autonomous navigation …
dynamic destination path-planning algorithm to solve the problem of autonomous navigation …
Autonomous driving control based on the technique of semantic segmentation
J Tsai, CC Chang, T Li - Sensors, 2023 - mdpi.com
Advanced Driver Assistance Systems (ADAS) are only applied to relatively simple scenarios,
such as highways. If there is an emergency while driving, the driver should take control of …
such as highways. If there is an emergency while driving, the driver should take control of …
Special Issue on Unmanned Aerial Vehicles
S Bertrand, HS Shin - Applied Sciences, 2023 - mdpi.com
Unmanned Aerial Vehicles (UAVs) are recognized as very useful tools to replace, help, or
assist humans in various missions, such as inspection and monitoring, surveillance, search …
assist humans in various missions, such as inspection and monitoring, surveillance, search …
人工智能在无人机军事领域的应用发展研究: 基于WOS 核心数据库的文献计量分析.
褚旭龙 - Science Technology & Engineering, 2023 - search.ebscohost.com
摘要人工智能赋能下的无人机(unmanned aerial vehicles, UAV) 将推动未来战争向着无人化,
智能化趋势发展, 自主化的感知, 判断, 决策, 行动的作战单元或群体, 具备颠覆战争规则 …
智能化趋势发展, 自主化的感知, 判断, 决策, 行动的作战单元或群体, 具备颠覆战争规则 …
[PDF][PDF] Learningbasedmulti-obstacleavoidanceof unmanned aerial vehicles with a novel reward
H Gao, B Kong, M Yu, J Li - 2023 - f.oaes.cc
In this paper, a novel reward-based learning method is proposed for unmanned aerial
vehicles to achieve multiobstacle avoidance. The Markov jump model was first formulated …
vehicles to achieve multiobstacle avoidance. The Markov jump model was first formulated …
AA self-driven dual reinforcement model with meta heuristic framework to conquer the iot based clustering to enhance agriculture production
C Muruganandam, V Maniraj - The Scientific Temper, 2024 - scientifictemper.com
In agriculture, irrigation is essential for providing water to crops based on the type of soil they
are grown in. To achieve success in farming, it is important to evaluate soil fertility …
are grown in. To achieve success in farming, it is important to evaluate soil fertility …