[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhen et al., 2020 - Google Patents

An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment

Zhen et al., 2020

Document ID
7458026144523987944
Author
Zhen Z
Chen Y
Wen L
Han B
Publication year
Publication venue
Aerospace Science and Technology

External Links

Snippet

This paper presents an intelligent cooperative mission planning scheme for unmanned aerial vehicle (UAV) swarm, to search and attack the time-sensitive moving targets in uncertain dynamic environment, by using a hybrid artificial potential field and ant colony …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291Fleet control
    • G05D1/0295Fleet control by at least one leading vehicle of the fleet
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0255Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10Simultaneous control of position or course in three dimensions
    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • G05D1/104Simultaneous control of position or course in three dimensions specially adapted for aircraft involving a plurality of aircrafts, e.g. formation flying
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G05D1/0238Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/0011Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044Control 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology

Similar Documents

Publication Publication Date Title
Zhen et al. An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment
Zhen et al. Cooperative search-attack mission planning for multi-UAV based on intelligent self-organized algorithm
Puente-Castro et al. A review of artificial intelligence applied to path planning in UAV swarms
Yan et al. Task allocation and route planning of multiple UAVs in a marine environment based on an improved particle swarm optimization algorithm
Gao et al. A self-organized search and attack algorithm for multiple unmanned aerial vehicles
Luo et al. Distributed UAV flocking control based on homing pigeon hierarchical strategies
CN111443728B (en) A UAV formation control method based on chaotic gray wolf optimization
CN106843269A (en) A kind of unmanned plane formation method based on small birds cluster fly mechanics
Tang et al. A novel cooperative path planning for multirobot persistent coverage in complex environments
Kladis et al. Energy conservation based fuzzy tracking for unmanned aerial vehicle missions under a priori known wind information
Messous et al. Implementing an emerging mobility model for a fleet of UAVs based on a fuzzy logic inference system
Zhong et al. Particle swarm optimization with orientation angle-based grouping for practical unmanned surface vehicle path planning
Wang et al. Weighted mean field reinforcement learning for large-scale UAV swarm confrontation
Fernando Online flocking control of UAVs with mean-field approximation
Lei et al. Variable speed robot navigation by an ACO approach
Medvedev et al. Path planning of mobile robot group based on neural networks
Wang et al. AGDS: adaptive goal-directed strategy for swarm drones flying through unknown environments
Chand et al. A face-off-classical and heuristic-based path planning approaches
Sun et al. A survey of cooperative path planning for multiple UAVs
Jiang et al. Evolutionary computation for unmanned aerial vehicle path planning: A survey
Duan et al. UAV path planning
Cheng et al. Heterogeneous UAV swarm collaborative search mission path optimization scheme for dynamic targets
Boutalbi et al. Enhanced UAVs mobility models for surveillance and intruders detection missions
Wu et al. Real-time path planning algorithm for UAV swarm on complex terrain based on multi-objective particle swarm optimization
Ding et al. Advancements and challenges of information integration in swarm robotics