Advanced UAV Trajectory Generation: Planning and Guidance

Julian David Colorado Montaño; Antonio  Barrientos; Pedro Gutiérrez

doi:10.5772/6467

Advanced UAV Trajectory Generation: Planning and Guidance

Julian David Colorado Montaño, Antonio Barrientos, Pedro Gutiérrez

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter presents a robust Trajectory Generation and Guidance Module (TG2M), a
software tool capable of generating complex six-degrees-of-freedom trajectories in 3D space with velocity, acceleration, orientation and time constraints. The TG2M is an extension module to the Aerial Vehicle Control Language (AVCL), a software architecture and interpreted language specification that address the issues of mission definition, testing, validation and supervision for UAVs (Barrientos et al., 2006). The AVCL platform incorporates a 3D visual simulator environment that uses a Geographic Information System (GIS) as the world’s data model. The GIS backend means all objects are geo-referenced and that several official and commercial databases may be used for mission planning (roads,airports, power lines, crop fields, etc.). The language specification contains a wide set of instructions that allow the off/on-line supervision and the creation of vehicle-independent missions.

Original language	English
Title of host publication	Aerial Vehicles
Publisher	IntechOpen
Number of pages	30
Volume	4
DOIs	https://doi.org/10.5772/6467
State	Published - 01 Jan 2009
Externally published	Yes

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title = "Advanced UAV Trajectory Generation: Planning and Guidance",

abstract = "This chapter presents a robust Trajectory Generation and Guidance Module (TG2M), asoftware tool capable of generating complex six-degrees-of-freedom trajectories in 3D space with velocity, acceleration, orientation and time constraints. The TG2M is an extension module to the Aerial Vehicle Control Language (AVCL), a software architecture and interpreted language specification that address the issues of mission definition, testing, validation and supervision for UAVs (Barrientos et al., 2006). The AVCL platform incorporates a 3D visual simulator environment that uses a Geographic Information System (GIS) as the world{\textquoteright}s data model. The GIS backend means all objects are geo-referenced and that several official and commercial databases may be used for mission planning (roads,airports, power lines, crop fields, etc.). The language specification contains a wide set of instructions that allow the off/on-line supervision and the creation of vehicle-independent missions.",

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AU - Barrientos, Antonio

AU - Gutiérrez, Pedro

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AB - This chapter presents a robust Trajectory Generation and Guidance Module (TG2M), asoftware tool capable of generating complex six-degrees-of-freedom trajectories in 3D space with velocity, acceleration, orientation and time constraints. The TG2M is an extension module to the Aerial Vehicle Control Language (AVCL), a software architecture and interpreted language specification that address the issues of mission definition, testing, validation and supervision for UAVs (Barrientos et al., 2006). The AVCL platform incorporates a 3D visual simulator environment that uses a Geographic Information System (GIS) as the world’s data model. The GIS backend means all objects are geo-referenced and that several official and commercial databases may be used for mission planning (roads,airports, power lines, crop fields, etc.). The language specification contains a wide set of instructions that allow the off/on-line supervision and the creation of vehicle-independent missions.

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M3 - Chapter

VL - 4

BT - Aerial Vehicles

PB - IntechOpen

ER -

Advanced UAV Trajectory Generation: Planning and Guidance

Abstract

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