Autonomous Detect & Avoid

Boubekeur Begue; Nicolas Capdeville; Jean-François Lamaudiere; Nicolas Senequier

Conference Papers Year : 2018

Autonomous Detect & Avoid

, , (1) ,

Boubekeur Begue

Function : Author

Nicolas Capdeville

Function : Author

Jean-François Lamaudiere

Function : Author

AKKA Technologies

Nicolas Senequier

Function : Author

Abstract

The R&D department of the AKKA Technologies Group, AKKA Research, works on Unmanned Aerial Vehicle (UAV) techniques and their eco-systems for civil aviation. This project, called OMEGA notably addresses the “detect and avoid” problematic. We present in this paper the current state of the development and our perspectives.

Keywords

Airship Avoidance Detection Drone Obstacles ORM Quadrotor Simulation Trajectory tracking VFH VO with the following key words: UAV Unmanned Autonomous Navigation Vehicle Obstacle Object Detect Sense Avoid System Methodology Strategy Algorithm Switch 3D 4D Machine Learning Fixed Wing Modelling About

Domains

Computation and Language [cs.CL]

Fichier principal

Autonomous Detect and Avoid - ERTS² Publication v2.pdf (1.17 Mo)

Origin : Files produced by the author(s)

kevin delmas : Connect in order to contact the contributor

https://hal.science/hal-02156489

Submitted on : Tuesday, June 18, 2019-4:17:30 PM

Last modification on : Thursday, August 20, 2020-11:18:02 AM

Dates and versions

hal-02156489 , version 1 (18-06-2019)

Identifiers

HAL Id : hal-02156489 , version 1

Cite

Boubekeur Begue, Nicolas Capdeville, Jean-François Lamaudiere, Nicolas Senequier. Autonomous Detect & Avoid. ERTS 2018, Jan 2018, Toulouse, France. ⟨hal-02156489⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

ERTS2018

119 View

238 Download

Autonomous Detect & Avoid

Abstract

Keywords

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Share