Yao et al., 2017 - Google Patents
Gaussian mixture model and receding horizon control for multiple UAV search in complex environmentYao et al., 2017
- Document ID
- 13949853992912467072
- Author
- Yao P
- Wang H
- Ji H
- Publication year
- Publication venue
- Nonlinear Dynamics
External Links
Snippet
In this paper, we present a three-layer distributed control structure with certain centralization mechanism to generate the optimal trajectories of multiple unmanned aerial vehicles (UAVs) for searching target in complex environment, based on the method of Gaussian mixture …
- 239000000203 mixture 0 title abstract description 22
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
- G05D1/10—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
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant
- G01S13/72—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
- G01S13/723—Radar-tracking systems; Analogous systems where the wavelength or the kind of wave is irrelevant for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
- G01S13/726—Multiple target tracking
-
- 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
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning 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
- G05D1/0011—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
- 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
- G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
-
- 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
- G05D1/0094—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yao et al. | Gaussian mixture model and receding horizon control for multiple UAV search in complex environment | |
Aggarwal et al. | Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges | |
Zhang et al. | An improved constrained differential evolution algorithm for unmanned aerial vehicle global route planning | |
Almadhoun et al. | A survey on multi-robot coverage path planning for model reconstruction and mapping | |
Tang et al. | Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: A comprehensive review | |
Zhen et al. | An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment | |
Pehlivanoglu et al. | An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems | |
Yao et al. | Multi-UAVs tracking target in urban environment by model predictive control and Improved Grey Wolf Optimizer | |
Rezwan et al. | Artificial intelligence approaches for UAV navigation: Recent advances and future challenges | |
Jones et al. | Path-planning for unmanned aerial vehicles with environment complexity considerations: A survey | |
Li et al. | Trajectory planning for UAV based on improved ACO algorithm | |
Lanillos et al. | Multi-UAV target search using decentralized gradient-based negotiation with expected observation | |
Tang et al. | Motion planning for multitarget surveillance with mobile sensor agents | |
Huang et al. | A novel coordinated path planning method using k-degree smoothing for multi-UAVs | |
Ru et al. | Distributed cooperative search control method of multiple UAVs for moving target | |
Petrlík et al. | Coverage optimization in the cooperative surveillance task using multiple micro aerial vehicles | |
Yao et al. | Time-optimal trajectory generation for aerial coverage of urban building | |
Elfatih et al. | Navigation and Trajectory Planning Techniques for Unmanned Aerial Vehicles Swarm | |
Stodola et al. | Model of surveillance in complex environment using a swarm of unmanned aerial vehicles | |
Vasunina et al. | Algorithm of UAV trajectory creation for data collecting from seismological sensors | |
Li et al. | A distributed framework for multiple UAV cooperative target search under dynamic environment | |
Pehlivanoğlu et al. | Efficient strategy for multi-UAV path planning in target coverage problems | |
CN117930863A (en) | Cluster cooperative target searching method based on digital twin and deep reinforcement learning | |
Fügenschuh et al. | Mission planning for unmanned aerial vehicles | |
Bandari et al. | An optimal UAV height localization for maximum target coverage using improved deer hunting optimization algorithm |