With the rapid development of the UAV, it is widely used in rescue and disaster relief, where autonomous landing is the key technology. Vision-based autonomous landing has the advantages of strong autonomy, low cost, and strong anti-interference ability. Moreover, vision navigation has higher ...
The countries with the most research output on UAV-based autonomous object-goal navigation are China (21), the USA (13), and Germany (5). Other countries and their number of publications are presented in Fig.6. Processing this metadata allows for a better understanding of interest in the re...
The literature pertaining to real-time implementation of drone control systems is relatively limited, and the number of reported studies on UAV scheduling has been minimal [143]. The main feature of real-time implementation in drones control is that an embedded RTOS, also referred to as UAV oper...
The PPP–RTK method, which combines the concepts of Precise of Point Positioning (PPP) and Real-Time Kinematic (RTK), is proposed to provide a centimeter-accuracy positioning service for an unlimited number of users. Recently, the PPP–RTK technique is b
Object detection UAV Drone Deep learning Precision agriculture Security 1. Introduction Computer vision is already achieved remarkable achievements due to advancements in deep learning algorithms, hardware requirements, and the availability of datasets. Object detection is the most investigation task done by...
For instance, connectivity of vehicular networks along roads necessitates optimal positioning of nodes or regulating their speed in a one-dimensional subspace that is not directly applicable to UAV networks. Likewise, autonomous driving and collision avoidance for drones have different constraints and ...
and cannot automatically learn and extract features from the original image. On the contrary, deep learning can automatically learn features from large data without manual manipulation. The model is composed of multiple layers, which has good autonomous learning ability and feature expression ability, ...
By mimicking and interacting with the environment to carry out actions and plan, brain-like intelligence has the ability of autonomous development and can learn with a small number of samples, thus solving the defect of resource waste in reinforcement learning and making robots have the ...
However, the integration of autonomous UAVs based on AI is not obvious in most practical cases. This is why UAV-enabled MEC based on AI would enable many applications in the industry community to deploy their solutions, by cooperatively executing and processing the massive volumes of confidential ...
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition 被引用(154) 发布时间·被引用数·默认排序 Ship Image Denoising Algorithm Research Based on Deep Learning 0 被引用·0 笔记 引用 A Strategic Approach to Machine Learning for Material Science: How to Tackle Real-World ...