Tnunay et al., 2021 - Google Patents
Virtual leader based trajectory generation of UAV formation for visual area coverageTnunay et al., 2021
View PDF- Document ID
- 11786810092811883741
- Author
- Tnunay H
- Moussa K
- Hably A
- Marchand N
- Publication year
- Publication venue
- IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society
External Links
Snippet
This paper proposes a trajectory generation strategy of quadcopter formation for area surveillance and inspection using multiple cameras. The proposed technique exploits a minimal virtual-leader based network topology to generate the executable trajectories where …
- 230000015572 biosynthetic process 0 title abstract description 44
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
- G05D1/0295—Fleet control by at least one leading vehicle of the fleet
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
- G05D1/104—Simultaneous control of position or course in three dimensions specially adapted for aircraft involving a plurality of aircrafts, e.g. formation flying
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
- G05D1/0027—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement involving a plurality of vehicles, e.g. fleet or convoy travelling
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/003—Flight plan management
- G08G5/0039—Modification of a flight plan
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Rezaee et al. | Comprehensive review of drones collision avoidance schemes: Challenges and open issues | |
| Yang et al. | Collision free 4D path planning for multiple UAVs based on spatial refined voting mechanism and PSO approach | |
| CN104656663B (en) | A kind of unmanned plane formation of view-based access control model perceives and bypassing method | |
| Vasquez-Gomez et al. | Coverage path planning for surveying disjoint areas | |
| Saska et al. | Autonomous deployment of swarms of micro-aerial vehicles in cooperative surveillance | |
| Yao et al. | Gaussian mixture model and receding horizon control for multiple UAV search in complex environment | |
| Waslander | Unmanned aerial and ground vehicle teams: Recent work and open problems | |
| Petrlík et al. | Coverage optimization in the cooperative surveillance task using multiple micro aerial vehicles | |
| Stasinchuk et al. | A multi-UAV system for detection and elimination of multiple targets | |
| Pritzl et al. | Cooperative navigation and guidance of a micro-scale aerial vehicle by an accompanying UAV using 3D LiDAR relative localization | |
| Hoang et al. | Reconfigurable multi-uav formation using angle-encoded pso | |
| Tnunay et al. | Virtual leader based trajectory generation of UAV formation for visual area coverage | |
| Das et al. | A rapid situational awareness development framework for heterogeneous manned-unmanned teams | |
| Li et al. | Obstacle clustering and path optimization for drone routing | |
| Nagrare et al. | Decentralized path planning approach for crowd surveillance using drones | |
| Yu et al. | Multi-UAV Coverage Path Assignment Algorithm Considering Flight Time and Energy Consumption | |
| Hemmati et al. | Mission-based quadcopter flight simulation | |
| Fragoso et al. | Dynamically feasible motion planning for micro air vehicles using an egocylinder | |
| US20230280762A1 (en) | Autonomous vehicle-based mission planning and autonomy system for multi-asset collaborative operations | |
| Hattenberger et al. | Planning and control for unmanned air vehicle formation flight | |
| Andert et al. | Mapping and path planning in complex environments: An obstacle avoidance approach for an unmanned helicopter | |
| Yang et al. | An Analytical Solution for Obstacle Avoidance in Cooperative Area Coverage using UAV Swarms | |
| Khan et al. | Fundamentals and Applications of Unmanned Aerial Vehicle Swarms | |
| Fügenschuh et al. | Mission planning for unmanned aerial vehicles | |
| Zhou et al. | Path Planning of the Swarm Unmanned Aerial Vehicles in the Constrained Environment: A Survey |