Course Description

Course Name:	Multi-sensor Navigation and Tracking: Design and Analysis of Hybrid Navigation Systems
Time & Date:	6 - 8:30PM,Tuesdays, Nov 2, 9, 16, 30; Dec 7
Location:	Holiday Inn Select Hotel, 15 Middlesex Canal Park Rd., Woburn, MA
Speaker:	Dr Leonid Naimark. Applied Radar

Course Summary:

This 5-sessions technical course covers stages of design, building and testing of multi-sensor navigation system. The first part of the course reviews all major types of sensors including GPS, Inertial, Optical and RF/Radar used for Navigation. We review advantages and limitations of the corresponding single-sensor Navigation system, provide working examples, and discuss specific hardware selection, real-time software implementation and system calibration. The latter part of the course covers abstract multi-sensor architectures and specific hybrid multi-sensor systems.

Outline:

Lecture 1: Introduction and Inertial Navigation

What is Navigation, Tracking, Localization, Mapping, Guidance
Coordinate systems and approaches to coordinates transformation
Main sensor types used for navigation
What is INS and IMU
Inertial equations
Example of reduced inertial navigation system design: daily activity monitoring

Lecture 2: GPS and Radio

Principles of GPS navigation
Existing Satellite systems
GPS Navigation Equations and Sources of errors
Geometrical Dilution of Precision
GPS/INS navigation
Cooperative Multiple RF configurations

Lecture 3: Optical Navigation

Cameras and Lens selection
Inside-out and Outside-in systems
Lens Calibration Hardware, Software and Algorithms
Replacing GPS with cameras for indoors applications
Extrinsic Calibration

Lecture 4: Projectors, Interferometry and Augmented Reality

Coherent apertures: Interferometric approach
Fringe Projectors: from RF to optics
Camera-Projector pairs and calibration techniques
Augmented Reality applications; HMDs

Lecture 5: Generalized Navigation System Architecture

Two system architectures for multi-sensor navigation
Designing navigation system principles, selecting sensors, computers
Testing navigation configurations
Conclusion

Target audience:

This course is designed for engineers who develop navigation system architecture and/or involved in sensors and components selection and design. It is also targeted engineers performing algorithm design, real-time hardware and software implementation and multi-rate system integration in connected fields of signal processing, pattern recognition and tracking.

Pre-requests:

Understanding of 3-D geometry and Kalman filter is desired but not necessary.

Benefits of attending:

Entry-level + Engineers will benefit from comprehensive presentation of different sensors group and gaining understanding of each sensor group advantages and limitations

Established Engineers will benefit from explicit coverage of recent advances in the field including multiple examples of hybrid system developments.

Project Managers will benefit from systematic approach to component selection and system trade-off studies including reduction in weight, size and cost.

Speaker Bio:

Dr Leonid Naimark has over 20 years of experience in design and implementation of guidance, navigation, tracking and mapping systems in many application fields using various sensor combinations. He spent 6 years teaching Control and Signal Processing courses in Technion- Israel Institute of Technology, from where he holds his PhD in EE. He authored 20 papers and patens and was invited and conference speaker in 6 countries. Dr. Naimark is currently working as Sr. Systems Engineer at Applied Radar, where he acts as PI/Investigator for various projects involving sensor fusion.

Decision (Run/Cancel) Date for this Courses is Monday, October 25, 2010

FEES

Payment received by October 21: IEEE Members $260

Payment received by October 21: Non-members $280

Payment received after October 21: IEEE Members $280

Payment received after October 21: Non-members $305