21/03/2015 1 SESAM – UAV seminarium 2004-02-11 Mari Persson.

Slides:

Advertisements

Similar presentations

1 Copyright © 2013 Elsevier Inc. All rights reserved. Appendix 01.

Advertisements

1 Copyright © 2013 Elsevier Inc. All rights reserved. Chapter 28.

1 Copyright © 2013 Elsevier Inc. All rights reserved. Chapter 38.

Beat the Computer Drill Multiply 7s Becky Afghani, LBUSD Math Curriculum Office, 2004.

For APNOMS Managing Pervasive Computing and Ubiquitous Communications Challenges Ahead Graham Chen.

7.2 Solve Linear Systems by Substitution

International Organization

TOYOTA MOTOR EUROPE Accident research for safer Car Design ETSC Best in Europe Conference Tjark Kreuzinger R&D, External Affairs & Communication,

1 Software development WP6. 2 Team CEFAS: architecture and documentation IC: modules for calculating new functions (penalty prob.; enforcement cost) AZTI:

Review of Chapters Decimals. Question: Write the fraction and decimal for the shaded part.

Evaluation of Distributed Security Systems Server Modules Peak Workload Sergey ANCUD Ltd.

Coherent and Electro-Optics Research Group (CEORG)

UNITED STATES PATENT AND TRADEMARK OFFICE A full transcript of this presentation can be found under the Notes Tab. 35 USC 112 (f)*: Identifying Limitations.

Feedback. FEEDBACK intrinsicextrinsic Sensory Feedback Augmented Feedback visual auditory proprioception KR KR KP KP cutaneous.

Real-Time Projector Tracking on Complex Geometry Using Ordinary Imagery Tyler Johnson and Henry Fuchs University of North Carolina – Chapel Hill ProCams.

Electric Bus Management System

Jeremy Siviter, IBI Group, Project Manager May 18th, 2011

Project MeduMobile Mobile Campus Charité Berlin, Nguyen-Dobinsky Trong-Nghia, Kaiser Gerd Charité – University Medicine Berlin UNIVERSITÄTSKLINIKUM.

IEEE Globecom OWC, Miami, FL, December D Optical Wireless Localization Mehmet Bilgi, Murat Yuksel, and Nezih Pala

Academic Advisor: Dr. Yuval Elovici Technical Advisor: Dr. Rami Puzis Team Members: Yakir Dahan Royi Freifeld Vitali Sepetnitsky 2.

EXAMPLE 4 Solve a multi-step problem SHOPPING

Physical Aspects [Reflection Modelling] Hauptseminar: Augmented Reality for Driving Assistance in Cars.

15. Oktober Oktober Oktober 2012.

Security Systems BU Communication Systems Slide 1 DCNtech MPCC IO NClientPC Installing and Operating with Multi PC Control  Windows Set-up.

Security Systems BU Communication Systems Slide 1 DCNtech MPCC IO NServerPC Installing and Operating with Multi PC Control  Windows Set-up.

The Need for a G21?  G21 is a growing region  Need for agreed vision and plan  “One voice” behind things that need Regional, Multi-agency support.

1 Network Limitations. 2 Options 1.Establish second 110 kV feeder from Warwick to Stanthorpe 2.Upgrade the 33 kV system from Warwick via Pozieres to Stanthorpe.

Do Now: Pass out calculators.

EXAMPLE 3 Use synthetic division

Computer Vision REU Week 2 Adam Kavanaugh. Video Canny Put canny into a loop in order to process multiple frames of a video sequence Put canny into a.

1 Usability Test Plans CSSE 376 Software Quality Assurance Rose-Hulman Institute of Technology April 20, 2007.

MASKS © 2004 Invitation to 3D vision Lecture 11 Vision-based Landing of an Unmanned Air Vehicle.

Principles of Navigation and Guidance AEE 500 – Fall 2009 L. C. Smith College of Engineering Syracuse University Instructor: Harish Palanthandalam-Madapusi.

Pursuit Evasion Games (PEGs) Using a Sensor Network Luca Schenato, Bruno Sinopoli Robotics and Intelligent Machines Laboratory UC Berkeley

I n t e g r a t I n g C S S Practitioner Module 4 1 Module 4: CSS in Corridor and Sub-area Planning.

Intelligent Vehicles and Systems Group The Pennsylvania State University 1/9 EDSGN 100 EDSGN 100 Autonomous System Navigation and Driver Augmentation Pramod.

Vision-based Landing of an Unmanned Air Vehicle

The Eos-Explorer CHENRAN YE IMDE ECE 4665/5666 Fall 2011.

UAV LANDING SYSTEM Submitted by: SHAKTI SINGH SHEKHAWAT SHRISH KUMAR SHUKLA RISHI KUMAR YADAV VINEET AGRAWAL.

COBXXXX EXPERIMENTAL FRAMEWORK FOR EVALUATION OF GUIDANCE AND CONTROL ALGORITHMS FOR UAVS Sérgio Ronaldo Barros dos Santos,

PCB Soldering Inspection. Structured Highlight approach Structured Highlight method is applied to illuminating and imaging specular surfaces which yields.

The A.M.Prokhorov General Physics Institute (GPI) of the Russian Academy of Sciences was founded in 1983 by Nobel Prize winner Academician A.M.Prokhorov.

Goal : Setup and monitor “chambers” with resolution of  < 200  m Demonstrate System Redundancy Test Setup : 1 SLM Line (2 Laser Redundancy) 1 Transfer.

The use of scenarios to develop Concepts of Operation for unmanned vehicles 19 ISMOR 30th August Michael Tulip.

1 Structure of Aalborg University Welcome to Aalborg University.

Realtime Robotic Radiation Oncology Brian Murphy 4ECE.

Submersibles and Self-Contained Diving How the oceans were studied was changed forever by the submersibles and self- contained diving. – Instead of grabbing.

Competency based learning & performance Ola Badersten.

Optic Flow QuadCopter Control

Robotics & Autonomy Test Facility Workshop 28 th February 2012 Dr Derek J. Bennet Robotics.

Eltek Defence and Industry Previously. Located 45 km from Oslo, Norway Established 1987, more than 130 OEM projects Research, development and prototyping.

Data-Driven Culture Improving Student Learning. Overview of the Workshop Identify Sources of Data in your School Practical Ways to Analyse and Use Data.

Motivation and Background:

A Vision System for Landing an Unmanned Aerial Vehicle

Pursuit-Evasion Games with UGVs and UAVs

Vision Based Motion Estimation for UAV Landing

UAV Vision Landing Motivation Data Gathered Research Plan Background

Autonomous object-tracking system

Optical Flow For Vision-Aided Navigation

Networks of Autonomous Unmanned Vehicles

Physics-based simulation for visual computing applications

PURE Learning Plan Student: Kiarash Akhlaghi Feizasar

Sharing Session Henry Liyanto.

Multi-UAV Detection and Tracking

Multi-UAV to UAV Tracking

Value Proposition Celemi Sales Endeavour™ enables sales professionals, and their organizations, to learn and apply a repeatable process for developing.

Detecting Motion Pattern in Optical Flow Fields

Complete Vehicle Systems.

Presentation transcript:

21/03/ SESAM – UAV seminarium Mari Persson

21/03/ Optical guidance system Anders Eriksson / Magnus Johnsson

21/03/ Optical guidance system based on computer vision + Complete determination of vehicle position and orientation + AUV already equipped with camera (multi-purpose use) + Functionality mainly in software - Limited working range

21/03/ Optical guidance system - Setup Power supply Control Driver Ignition pattern 10

21/03/ Optical guidance system, Land-based setup

21/03/ Track estimation 1m x y z

21/03/ Underwater setup

21/03/ Detection range Malmö Habour: 28 m (measured) Baltic Sea: 60 m (simulated)

21/03/ Conclusion An underwater optical guidance system has been constructed and built System performance has been evaluated The achieved performance at full functionality is sufficient to guide an UUV during docking The environment has a strong impact on the achieved working range