elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Minimum-Risk Path Planning for Long-Range and Low-Altitude Flights of Autonomous Unmanned Aircraft

Schopferer, Simon and Benders, Sebastian (2020) Minimum-Risk Path Planning for Long-Range and Low-Altitude Flights of Autonomous Unmanned Aircraft. AIAA SciTech Forum, Intelligent Systems, 06.-10. Jan. 2020, Orlando, Florida, USA. doi: 10.2514/6.2020-0137.

[img] PDF - Registered users only
7MB

Abstract

We present the architecture, implementation and benchmark results of a minimum-risk path planning framework targeted towards long-range unmanned flights at low altitudes. Application scenarios, such as transportation, remote sensing or surveillance missions, often require long-range flights beyond the visual line-of-sight of a pilot on the ground. Autonomy is a key enabler for such operations as it decreases the dependency on command-and-control links and human interaction. An essential technology for autonomous unmanned aircraft is onboard and online path planning. It requires highly efficient planning algorithms to be integrated in onboard systems with limited computational resources. In this work, we demonstrate how semantic geospatial datasets and sampling-based planning algorithms can be used to calculate long-range and low-altitude flight paths within seconds. We present benchmark results from a set of mission scenarios of realistic complexity and extent. The results indicate that in-flight and onboard path planning for autonomous aircraft can be realized through effective pre-processing of input data and careful design, integration and tuning of planning algorithms.

Item URL in elib:https://elib.dlr.de/133497/
Document Type:Conference or Workshop Item (Speech)
Title:Minimum-Risk Path Planning for Long-Range and Low-Altitude Flights of Autonomous Unmanned Aircraft
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schopferer, SimonSimon.Schopferer (at) dlr.deUNSPECIFIED
Benders, SebastianSebastian.Benders (at) dlr.deUNSPECIFIED
Date:January 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.2514/6.2020-0137
Status:Published
Keywords:UAV, Path Planning, Autonomy, Intelligent Systems
Event Title:AIAA SciTech Forum, Intelligent Systems
Event Location:Orlando, Florida, USA
Event Type:international Conference
Event Dates:06.-10. Jan. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems and Cabin (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Unmanned Aircraft
Deposited By: Schopferer, Simon
Deposited On:20 Oct 2020 15:49
Last Modified:20 Oct 2020 15:49

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.