CALL FOR PAPERS - Abstract Due Date: 15 November 1999
SPIE, Orlando, 24-28 April 2000
ENHANCED AND SYNTHETIC VISION 2000
Conference Chair: Jacques G. Verly, MIT Lincoln Laboratory
Program Committee: Andrew K. Barrows, Stanford University; Alberto Broggi,
Universita` di Pavia (ITALY); Ernst D. Dickmanns , Univ. der Bundeswehr
Muenchen (GERMANY); Peter Hecker, DLR (Germany); Thomas J. Meitzler, U.S.
Army Tank-Automotive and Armaments Command; Jeffrey D. Radke , Honeywell
Technology Ctr; Jens Schiefele , Darmstadt University of Technology
(GERMANY); Harro von Viebahn, VDO-Luftfahrtgeraete Werk (GERMANY).
The focus of this conference is "situation awareness", for guidance,
control, and navigation of air, land, sea, and other vehicles, typically
under poor visibility, such as in adverse-weather conditions or at night.
Also of interest are situation-awareness displays and related human factors
(for manned vehicles) and automatic scene understanding (for unmanned
vehicles).
The term "Enhanced Vision (EV)" is now generally used when situation
awareness is primarily achieved through the use of imaging sensors, such as
Low-Light-Level CCD, FLIR, MMW radar, PMMW camera, etc. "Synthetic Vision
(SV)" (although originally used in aviation to refer to what is now called
EV) currently designates situation-awareness systems that create a
synthetic/graphical view of the environment using database information and
position/attitude information (INS, GPS, etc). Future systems will probably
consist of a mix of EV and SV.
For aviation applications, papers are sought on all aspects of EV and SV,
including imaging sensors, 2D/3D/4D displays, image-processing,
computer-vision, databases, human factors, etc. Also sought are papers
describing the use of GPS for the creation of "tunnels in the sky" for all
phases of flight. Papers on other applications of GPS for aviation
applications, particularly for landing and approach, are also sought,
whether or not an EV/SV connection presently exist.
For automotive applications, papers are thought in the area of "enhanced
driving", where human vision is enhanced primarily through inexpensive EV
sensors and displays. Papers are also sought on all aspects of autonomous
driving (primarily on roads), whether in good or bad visibility, including
road/lane following, obstacle avoidance, etc. (To preserve the focus of the
conference, papers on indoor robotics are not sollicited.)
Papers on novel applications of EV/SV are also welcome, such as for rescue,
surveillance, firefighting and military operations through smoke and
obscurants.
(Below, SV refers both to SV and EV.)
AVIATION APPLICATIONS:
* Past and current programs (e.g., ALG, APALS, AWARD, VERSATILE); lessons
learned
* Airlines and pilots' needs for, and views of, SVSs
* Benefits and economics of SVs
* SVS for manual and hands-off landing
* Error budgets for SVS-based autoland
* SVS sensors: LLL CCD, FLIR, MMW radar, PMMW camera, etc
* Sensors' capabilities in haze, fog, rain, and snow
* Characterization of airport surfaces at MMW and low grazing angles
* Enhancement, geometric transformations, and feature extraction for SVS
imagery
* Fusion of SVS images and/or features
* SVS displays (e.g., HUDs and HMDs)
* Electronic windows in windowless cockpits
* Line-drawing and photo-realistic displays
* 3D/4D Flight guidance displays (e.g., "tunnel in the sky")
* Matching of airport/runway/taxiway features
* Extraction of vehicle dynamics from image sequences (runway, carrier
deck)
* Use of SVS measurements in flight management systems and autopilots
* Fully-autonomous, computer-vision-based approach and landing
* Approach/landing trajectory measurements by computer vision
* Simulation tools for SVS sensors
* Integration of SVSs in fixed-base and full-flight simulators
* Human factors and anthropo-technical evaluation of display and SVS
technologies
* Integration of SVSs and IPAs (Intelligent Pilot Assistant)
* Validation and certification of SVSs
* SV for helicopters and tiltrotor aircraft (including wire detection)
* SV for landing on aircraft/helicopter carriers
* SV for hypersonic transports, e.g., in High Speed Research (HSR)
program
* SV for Unmanned Air Vehicles (UAVs)
* SV for runway and taxiway following, obstacle detection (e.g., runway
incursions)
* Terrain following and "Nap-Of-Earth (NOE)" operations
* Night vision, including "color night vision"
* Detection of dangerous weather (microbursts, windshears, etc)
* Other vision-based Enhanced Situation Awareness Systems (ESAS)
* SVS databases (terrain, obstacles, navigation aids, airports);
acquisition, generation, verification, certification, formats,
real-time aspects
* All applications of GPS to aviation, with emphasis on approach, landing
and "tunnels in the sky".
* SV/GPS synergism
AUTOMOTIVE APPLICATIONS:
* Equivalent of above topics for land vehicles
* "Enhanced driving" in poor visibility and at night
* Evaluation and integration of HUDs and HMDs
* Special headlights
* Vision-based guidance of unmanned vehicles
* Road/lane following, lane changing, obstacle detection/avoidance
* Description of research vehicles and major demonstrations
* Analysis of real-time constraints for vehicle driving.
* Vehicle navigation in unknown outdoor environments.
* Integration of specialized hardware on vehicles.
* Legal aspects.
INSTRUCTIONS FOR SUBMITTING ABSTRACTS
All authors are strongly encouraged to submit their abstracts by the due
date using the Web form located at URL: www.spie.org/info/or/
If World Wide Web access is not available, please choose only one of the
following options:
1. E-MAIL each abstract separately to abstracts@spie.org in ASCII text
(not encoded) format. IMPORTANT: to ensure receipt and proper
processing, include only the following on the Subject line: OR04, VERLY
2. or MAIL three copies of each abstract to: AEROSENSE SPIE, P.O. Box 10,
Bellingham, WA 98227-0010 USA Shipping Address: 1000 20th St,
Bellingham, WA 98225 USA
3. or FAX one copy to SPIE at 360/647-1445. Send each abstract separately.
For more information, please contact SPIE at 360/676-3290 or Dr. Jacques G.
Verly MIT Lincoln Laboratory, 244 Wood St., Lexington, MA 02420-9185 USA
(781) 981-2581 ph, (781) 981-4094 fax, verly@LL.MIT.EDU