Pachikara et al., 2009 - Google Patents
A path-parametrization approach using trajectory primitives for 3-dimensional motion planningPachikara et al., 2009
- Document ID
- 10023670247902884872
- Author
- Pachikara A
- Kehoe J
- Lind R
- Publication year
- Publication venue
- AIAA Guidance, Navigation, and Control Conference
External Links
Snippet
Autonomous operation of aircraft requires some capability to determine trajectories along which the vehicle should fly. Techniques for such determination are relatively mature for vehicles that fly at high altitude in open airspace using nearly 2-dimensional maneuvering; …
- 238000000034 method 0 abstract description 10
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
- G05D1/10—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
- G05D1/02—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
-
- 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
- G05D1/0231—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
- G05D1/0011—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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Oleynikova et al. | Continuous-time trajectory optimization for online uav replanning | |
Menon et al. | Optimal strategies for free-flight air traffic conflict resolution | |
Zhao et al. | Integrating vector field approach and input-to-state stability curved path following for unmanned aerial vehicles | |
Tordesillas et al. | Real-time planning with multi-fidelity models for agile flights in unknown environments | |
Bertram et al. | Distributed computational guidance for high-density urban air mobility with cooperative and non-cooperative collision avoidance | |
Oh et al. | Coordinated standoff tracking using path shaping for multiple UAVs | |
Wan et al. | Distributed conflict-detection and resolution algorithm for UAV swarms based on consensus algorithm and strategy coordination | |
Singletary et al. | Safety-critical rapid aerial exploration of unknown environments | |
CN111552296B (en) | Local smooth track planning method based on curved cylindrical coordinate system | |
Hebecker et al. | Model-based local path planning for UAVs | |
Yang et al. | Multi-agent autonomous on-demand free flight operations in urban air mobility | |
Liang et al. | Three-dimensional path planning for unmanned aerial vehicles based on fluid flow | |
Hrabar et al. | Vision-based 3D navigation for an autonomous helicopter | |
Hasanzade et al. | A dynamically feasible fast replanning strategy with deep reinforcement learning | |
Hota et al. | Time-optimal convergence to a rectilinear path in the presence of wind | |
Pachikara et al. | A path-parametrization approach using trajectory primitives for 3-dimensional motion planning | |
Palmer et al. | Co-operative collision avoidance for unmanned aerial vehicles using both centralised and decoupled approaches | |
Tartaglione et al. | Obstacle avoidance via landmark clustering in a path-planning algorithm | |
Bestaoui et al. | Time optimal 3D trajectories for a lighter than air robot with second order constraints with a piecewise constant acceleration | |
Zammit et al. | 3D real-time path planning of UAVs in dynamic environments in the presence of uncertainty | |
Kong et al. | On the general characteristics of 2d optimal obstacle-field guidance solution | |
Wu et al. | Energy and Time-efficient Trajectory Planning and Geometric Control for Quadrotor Waypoints Flight | |
Yadav et al. | Exact reactive receding horizon motion planning for aerial vehicles | |
Kim | Dual control approach for automatic docking using monocular vision | |
Kumaresan et al. | Decentralized formation flying using modified pursuit guidance control laws |