Sarkar, 2021 - Google Patents
Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-MakingSarkar, 2021
View HTML- Document ID
- 6688125394695152461
- Author
- Sarkar S
- Publication year
External Links
Snippet
Intelligent drones are the new frontier of science due to their mobility and significant advances in sensors, IoT modules, and artificial intelligence. They are designed to carry an optional payload, the camera system, and onboard electronics for remotely controlling the …
- 230000010006 flight 0 abstract description 157
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Elmokadem et al. | Towards fully autonomous UAVs: A survey | |
Lyu et al. | Unmanned aerial vehicles for search and rescue: A survey | |
Mohsan et al. | Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends | |
Fraga-Lamas et al. | A review on IoT deep learning UAV systems for autonomous obstacle detection and collision avoidance | |
Singhal et al. | Unmanned aerial vehicle classification, applications and challenges: A review | |
Sivakumar et al. | A literature survey of unmanned aerial vehicle usage for civil applications | |
Balta et al. | Integrated data management for a fleet of search‐and‐rescue robots | |
Partheepan et al. | Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities | |
Zhang et al. | Occlusion-aware UAV path planning for reconnaissance and surveillance | |
Harik et al. | Fuzzy logic controller for predictive vision-based target tracking with an unmanned aerial vehicle | |
Aibin et al. | Survey of RPAS autonomous control systems using artificial intelligence | |
CN107783119A (en) | Apply the Decision fusion method in obstacle avoidance system | |
Deebak et al. | Aerial and underwater drone communication: potentials and vulnerabilities | |
Mittal et al. | Vision-based autonomous landing in catastrophe-struck environments | |
Osmani et al. | Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems | |
Igonin et al. | Situational awareness and problems of its formation in the tasks of UAV behavior control | |
Sarkar | Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making | |
Suryanarayana | AI Applications of Drones | |
MahmoudZadeh et al. | Holistic review of UAV-centric situational awareness: Applications, limitations, and algorithmic challenges | |
Moreira et al. | Precision Landing for Low-Maintenance Remote Operations with UAVs | |
Anand et al. | Drones for Disaster Response and Management | |
Lin | Moving obstacle avoidance for unmanned aerial vehicles | |
Satyarthi et al. | Drone Technologies: Aviation Strategies, Challenges, and Applications | |
Mabrek | IoT Network Dynamic Clustering and Communication for Surveillance UAV's | |
Jagatheesaperumal et al. | The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review |