Identification of unprepared landing sites for helicopters using geospatial data

The identification of landing sites in unprepared terrain without additional sensory is of vital importance for helicopters, especially in emergency services. Therefore, an algorithm is presented, that utilizes elevation data to compute the slope of terrain as well as geospatial data to identify obstacles. The identification of landing sites can be adjusted using a set of parameters regarding the minimal size of a landing site and the search area around a destination point. The algorithm identifies a list of potential landing sites free of obstacles and with a slope of terrain below a specified threshold to allow safe landing. Results for landing sites in an exemplary search area are presented and discussed. The execution time of the algorithm allows for real-time use during or previous to a flight.

Authors

Institutions

Publication Details

Published
2025-05-30
DOI
https://doi.org/10.1117/12.3048918
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of unprepared landing sites for helicopters using geospatial data

Finn Gandras
Robotics and Sensor-Based Localization
article

Identification of unprepared landing sites for helicopters using geospatial data

Finn Gandras
article en

Abstract

The identification of landing sites in unprepared terrain without additional sensory is of vital importance for helicopters, especially in emergency services. Therefore, an algorithm is presented, that utilizes elevation data to compute the slope of terrain as well as geospatial data to identify obstacles. The identification of landing sites can be adjusted using a set of parameters regarding the minimal size of a landing site and the search area around a destination point. The algorithm identifies a list of potential landing sites free of obstacles and with a slope of terrain below a specified threshold to allow safe landing. Results for landing sites in an exemplary search area are presented and discussed. The execution time of the algorithm allows for real-time use during or previous to a flight.

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Openalex Percentile: Top 84%
Robotics and Sensor-Based Localization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.