Wu et al., 2020 - Google Patents
Cooperative path planning for heterogeneous unmanned vehicles in a search-and-track mission aiming at an underwater targetWu et al., 2020
View PDF- Document ID
- 9192923307869753952
- Author
- Wu Y
- Low K
- Lv C
- Publication year
- Publication venue
- IEEE transactions on vehicular technology
External Links
Snippet
It is an effective way to execute a complicated mission by cooperating unmanned vehicles. This paper focuses on a search-and-track (SAT) mission for an underwater target, and the mission is implemented by combining an unmanned aerial vehicle (UAV), an unmanned …
- 238000004422 calculation algorithm 0 abstract description 18
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
- G05D1/02—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
- G05D1/02—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
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
- G05D1/0278—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wu et al. | Cooperative path planning for heterogeneous unmanned vehicles in a search-and-track mission aiming at an underwater target | |
Liu et al. | Self-adaptive dynamic obstacle avoidance and path planning for USV under complex maritime environment | |
Cao et al. | Concentrated coverage path planning algorithm of UAV formation for aerial photography | |
Ab Wahab et al. | Path planning for mobile robot navigation in unknown indoor environments using hybrid PSOFS algorithm | |
Bhatta et al. | Coordination of an underwater glider fleet for adaptive ocean sampling | |
CN112733251B (en) | Collaborative flight path planning method for multiple unmanned aerial vehicles | |
Wang et al. | [Retracted] Virtual reality technology of multi UAVEarthquake disaster path optimization | |
Pravija Raj et al. | EDGO: UAV-based effective data gathering scheme for wireless sensor networks with obstacles | |
Yao et al. | Review of path planning for autonomous underwater vehicles | |
Yan et al. | Efficient generation of optimal uav trajectories with uncertain obstacle avoidance in mec networks | |
Abdel-Basset et al. | A Multiobjective Optimization Algorithm for Safety and Optimality of 3-D Route Planning in UAV | |
Kumar et al. | Rapid A*: a robust path planning scheme for UAVs | |
Luo et al. | Pigeon-inspired optimisation-based cooperative target searching for multi-UAV in uncertain environment | |
Chen et al. | Cooperative search self-organizing strategy for multiple unmanned aerial vehicles based on probability map and uncertainty map | |
Yao et al. | Optimal search for marine target using multiple unmanned aerial vehicles | |
Ru et al. | Research on a hybrid neural network task assignment algorithm for solving multi-constraint heterogeneous autonomous underwater robot swarms | |
Liang et al. | Dynamic path planning based on improved boundary value problem for unmanned aerial vehicle | |
Fan et al. | A Path-Planning Method for UAV Swarm under Multiple Environmental Threats | |
Chen et al. | Research on a task planning method for multi-ship cooperative driving | |
Wang et al. | Simplified unstructured-mesh based uav path planning method using octree overlap detection | |
Yu | The Impact of Path Planning Model Based on Improved Ant Colony Optimization Algorithm on Green Traffic Management. | |
Pang et al. | Task allocation for multi-AUV system under ocean current environment | |
Wang et al. | Cooperative Task Assignment of Multi-UAV in Road-network Reconnaissance Using Customized Genetic Algorithm | |
Chen et al. | Path Planning Methods for UAVs: A Survey | |
Yu et al. | Multi-UAV Cooperative Path Planning via Mutant Pigeon Inspired Optimization with Group Learning Strategy |