Aircraft Navigation State-of-the-Art in Vision Technologies Rangachar Kasturi, PhD Computer Science & Engineering University of South Florida.

Slides:

Advertisements

Similar presentations

Airborne Doppler Wind Lidars for Climate and Weather Forecasting G. D. Emmitt Simpson Weather Associates Charlottesville, VA.

Advertisements

Mobile Robot ApplicationsMobile Robot Applications Textbook: –T. Bräunl Embedded Robotics, Springer 2003 Recommended Reading: 1. J. Jones, A. Flynn: Mobile.

Airmanship Knowledge Learning Outcome 3 Part 2 No 1 Group Air Combat Uncontrolled copy not subject to amendment Revision 1.00.

Gilbert Islas Feb. 25, 2012 SYSM  A micro air vehicle (MAV) is a class of unmanned aerial vehicles (UAV). unmanned aerial vehicles  Size restrictions.

Literature Review: Safe Landing Zone Identification Presented by Keith Sevcik.

Objectives The objective of this design process was to create a small, autonomous robot capable of completing a set of predefined objectives within an.

INNOCON Innovative solutions to the modern real time Arial surveillance challenges.

October 28, 2011 Adrian Fletcher (CECS), Jacob Schreiver (ECE), Justin Clark (CECS), & Nathan Armentrout (ECE) Sponsor: Dr. Adrian Lauf 1.

Applications from packages I to III

AI and Autonomous Vehicles Daniel Landers COMP Intelligent and Interactive Systems 3/10/2007.

Shree Nayar and Srinivasa Narasimhan Computer Science Columbia University ICCV Conference Korfu, Greece, September 1999 Sponsors: NSF Vision in Bad Weather.

AT 209 Introduction to Civil Unmanned Aerial Systems (UAS)

Matt McKeever Jonathan Baker UAV Design Team 11/16/2006

Image Processing of Video on Unmanned Aircraft Video processing on-board Unmanned Aircraft Aims to develop image acquisition, processing and transmission.

Universal system-model of military air vehicle. Military air vehicle can be: –fighter, –bomber, –carrier, –exploratory, –helicopter, –UAV, –UCAV, –balloon,

Dr. Shankar Sastry, Chair Electrical Engineering & Computer Sciences University of California, Berkeley.

Chromatic Framework for Vision in Bad Weather Srinivasa G. Narasimhan and Shree K. Nayar Computer Science Department Columbia University IEEE CVPR Conference.

Convergence of vision and graphics Jitendra Malik University of California at Berkeley Jitendra Malik University of California at Berkeley.

Removing Weather Effects from Monochrome Images Srinivasa Narasimhan and Shree Nayar Computer Science Department Columbia University IEEE CVPR Conference.

MILITARY AIR VEHICLE, AS A SYSTEM György Seres DSc

Jason Li Jeremy Fowers Ground Target Following for Unmanned Aerial Vehicles.

Elements of Weather Measuring Weather. What are the Basic Elements of Weather & Climate (go outside and list 6) Wind: speed and direction Temperature:

SpeedNews Aerospace & Defense Suppliers Conference Rich Baldwin Vice President, Military Sales 5/11/05.

1 DARPA TMR Program Collaborative Mobile Robots for High-Risk Urban Missions Second Quarterly IPR Meeting January 13, 1999 P. I.s: Leonidas J. Guibas and.

Today’s APODAPOD  Read NASA website:  solarsystem.nasa.gov solarsystem.nasa.gov  IN-CLASS QUIZ THIS FRIDAY!!  Solar Lab, Kirkwood, Rooftop this week.

Algorithm Implementation: Safe Landing Zone Identification Presented by Noah Kuntz.

1 DTSI / Interactive Robotics Unit IST Advanced Robotics µdrones µDRone autOnomous Navigation for Environment Sensing JM ALEXANDRE CEA List.

Project Partners AUVSI North America 10 th - 14 th August 2009 Mr Reece Clothier Prof. Rodney Walker The Smart Skies Project.

Luis Cordero Business Development phone: mail: Spanish SME ̴ 50 employees > 90% engineers and PhD Spin-off started.

Bill Staderman, PhD. Human Factors What are human factors? What is the importance of good Human Factors Engineering? 2.

University of Limerick Mobile & Marine Robotics Research Centre Dr Daniel Toal Gerard Dooly

Intelligent Mobile Robotics Czech Technical University in Prague Libor Přeučil

Shedding Light on the Weather

SPIE'01CIRL-JHU1 Dynamic Composition of Tracking Primitives for Interactive Vision-Guided Navigation D. Burschka and G. Hager Computational Interaction.

Stan Ferguson AIAA Applied Aero Technical Committee.

Autonomous Vehicles By: Rotha Aing. What makes a vehicle autonomous ? “Driverless” Different from remote controlled 3 D’s –Detection –Delivery –Data-Gathering.

Presented to: By: Date: Federal Aviation Administration Minimum Safe Altitude Warning November 19, 2008 Glenn W. Michael Air Traffic Manager, Boston ARTCC.

A Technology Partnership for the New Millennium Randy Stevens Office of Aviation Research 68th NASAO Annual Convention September 20, 1999 Enhancing Aviation.

Observer. Observer Duties Clear the flight path for the UA Clear the flight path for the UA Look for other air traffic in the area Look for other air.

Unmanned Aerial Vehicles (UAV’s) Unmanned Underwater Vehicles (UUV’s) and Swarms Joseph T. Wunderlich, Ph.D.

Metrology 1.Perspective distortion. 2.Depth is lost.

What Is Multilateration Triangulation System Uses Aircraft Transponder Multiple Ground Receivers Central Computer Calculates & Displays Aircraft Position.

Lecture 7: Global Positioning System (GPS)

UAV See & Avoid Employing Vision Sensors

Issues and Challenges for Co-operative UAV Missions Chris Halliday and Tony Dodd.

All information contained in this document is proprietary to SDT and may not be reproduced or disclosed to any third parties without the written consent.

© Anselm Spoerri Lecture 9 Augmented Reality –Definition –Visualization Approaches –Applications –Tools and Links.

1 Center for the Collaborative Control of Unmanned Vehicles (C3UV) UC Berkeley Karl Hedrick, Raja Sengupta.

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

Honeywell Navigation, Communication and Control SAE G&C Committee Meeting Oct 19, 2005

By Sridhar Godavarthy. Co-Author: Joshua Candamo Ph.D Advisors: Dr. Kasturi Rangachar Dr. Dmitry Goldgof.

  Computer vision is a field that includes methods for acquiring,prcessing, analyzing, and understanding images and, in general, high-dimensional data.

Presented to: By: Date: Federal Aviation Administration Runway Safety Airport Operations & Collision Avoidance Pacific Aviation Directors Work Shop Chris.

Navigation Technology

High Fidelity Simulation as a Route to Certification Autonomous Systems: Legal / Regulatory Aspects and V&V Workshop 22 nd February 2016 Dr. M. Jump.

Cruise missile technology “GUIDANCE SYSTEMS” By, Vivek S

Presentation of equipment.

Roadmap for the Application and Technology Development of UAVs in Japan The Public-Private Sector Conference on Improving the Environment for UAVs, 28th.

Friends and Partners of Aviation Weather

Instant Dehazing of Images using Polarization

Counter Drone Technology and Critical Infrastructure Protection

University of Limerick Mobile & Marine Robotics Research Centre

Sound Navigation And Ranging

Properties of human stereo processing

Stereo Vision Applications

Institute of Neural Information Processing (Prof. Heiko Neumann •

FAA and JPDO ASAS Activities

Application to Animating a Digital Actor on Flat Terrain

– Graphics and Visualization

Presentation transcript:

Aircraft Navigation State-of-the-Art in Vision Technologies Rangachar Kasturi, PhD Computer Science & Engineering University of South Florida

UAV Navigation Combining motion and depth for UAV navigation University of Southern California 2005

Horizon Detection for Navigation Using image processing to automatically detect navigational cues UC Berkeley 2005

Exploring Unknown Terrains using UAV Centre of Excellence in Autonomous Systems, Australia Mapping terrain in on-going reconnaissance 2004

Vision through Fog and Haze Study of atmospheric scattering effects to remove bad weather Shree K. Nayar Columbia University 2003

Millimeter-Wave Imaging Radars Generate a pilot-perspective image of a runway area even in zero-visibility conditions, and without ground support Georgia Tech Similar Technology is also used in automatic missile guidance systems

Navigation in Urban Areas Bio-inspired motion-based methods for visual navigation Animat Lab, France 2006

Obstacle Avoidance for Urban Aircraft Navigation 2007 University of South Florida

Vision-based Aircraft Surveillance Event Interactions: Person-Person Person-Vehicle Person-Facility Vehicle-Facility Activities: Loitering Trespassing Object Left Behind Etc… DARPA VIRAT BAA

Infrared imaging NASA UAV Southern California wildfires (2007) capturing thermal-infrared imagery to aid firefighters battling the remaining uncontrolled blazes

Virtual Reality & Surveillance 2006

Modified Concept: notify pilots and controller at the same time ASDE-X 2007 Runway Incursions – The Leading Aviation Safety Issue

Towards Automatic Collision Avoidance Use of 3D Geometric Approach Cooperative Approach 2006

UAV & MAV Swarms Defense & Surveillance Future battlefields are likely to be filled with UAV or MAV monitoring the action and engaging on enemy targets