Zhang et al., 2020 - Google Patents
Penetration path planning of stealthy UAV based on improved sparse A-star algorithmZhang et al., 2020
- Document ID
- 17805571082538260801
- Author
- Zhang Z
- Tang C
- Li Y
- Publication year
- Publication venue
- 2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)
External Links
Snippet
In some certain specific scenarios, path planning for UAVs is a hot topic of current research. This paper takes the low-altitude flight path planning of UAV in a single radar detection range as the research background. In the conventional SAS algorithm, the search area is …
- 238000004422 calculation algorithm 0 title abstract description 51
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
-
- 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
- G05D1/0011—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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhou et al. | Distributed guidance law design for cooperative simultaneous attacks with multiple missiles | |
Wan et al. | A smooth-turn mobility model for airborne networks | |
CN107168380B (en) | Multi-step optimization method for coverage of unmanned aerial vehicle cluster area based on ant colony algorithm | |
Zhai et al. | Coverage-based interception algorithm of multiple interceptors against the target involving decoys | |
Duan et al. | Multiple UAVs/UGVs heterogeneous coordinated technique based on receding horizon control (RHC) and velocity vector control | |
Ru et al. | Distributed cooperative search control method of multiple UAVs for moving target | |
Chand et al. | Sense and avoid technology in unmanned aerial vehicles: A review | |
Chen et al. | Path planning and cooperative control for multiple UAVs based on consistency theory and Voronoi diagram | |
Zhang et al. | Penetration path planning of stealthy UAV based on improved sparse A-star algorithm | |
Zhicai et al. | A cooperative search algorithm based on improved particle swarm optimization decision for UAV swarm | |
Song et al. | A cooperative aerial interception model based on multi-agent system for uavs | |
Wang et al. | Cooperative guidance law against highly maneuvering target with dynamic surrounding attack | |
CN118963383A (en) | A multi-aircraft cooperative guidance method and system considering no-fly zone avoidance | |
Ma et al. | Receding horizon control with extended solution for UAV path planning | |
Dong et al. | Control method of manned/unmanned aerial vehicle cooperative formation based on mission effectiveness | |
Wang et al. | Cooperative search approach for UAVs via Pigeon-inspired Optimization and Markov moving targets | |
Zhang et al. | A distributed persistent coverage algorithm of multiple unmanned aerial vehicles in complex mission areas | |
Enjiao et al. | Distributed cooperative guidance law for multiple flight vehicles of saturation attack | |
Ditzel et al. | Cross-layer utility-based system optimization | |
Jia et al. | A novel cooperative pursuit strategy in multiple underwater robots | |
Zhang et al. | A Research on Regional Penetration Channel of Multi-Agent UAVs based on Improved Q-Learning Algorithm | |
See et al. | Towards the development of an autonomous interdiction capability for unmanned aerial systems | |
Piet-Lahanier et al. | Cooperative guidance laws for maneuvering target interceptions | |
Ding et al. | Radar Measurement Simulation of UAV Group Targets Using Policy Consistency Algorithm | |
Liu et al. | Research on UAV swarm target search algorithm based on prior information |