TY - GEN
T1 - Architecture for asymmetric collaborative navigation
AU - Zhu, Zhen
AU - Roumeliotis, Stergios
AU - Hesch, Joel
AU - Park, Han
AU - Venable, Don
PY - 2012
Y1 - 2012
N2 - Under the Air Force Research Laboratory (AFRL) Collaborative Robust Integrated Sensor Positioning (CRISP) program, Northrop Grumman Corporation (NGC) is designing and building a collaborative navigation system for multiple airborne platforms. The collaborative navigation architecture has been designed to take advantage of AFRL's Layered Sensing construct which enables platforms to share information. In particular, the ability to share GPS, relative range, imagery, geo-registered maps, and other measurements opens up many opportunities to improve the navigational accuracy and the robustness to GPS-denied conditions. In the CRISP program, the collaborative navigation system is being designed to be more robust and accurate by leveraging the asymmetry in the sensing, computation, and communication capabilities of disparate platforms. For example, the system takes advantage of higher performing sensors on the high-flyer (HF) platform, which are less susceptible to jamming, and cameras that generate larger sensor footprint and higher resolution images of the terrain. The low-flyers (LFs) have poorer navigation sensors, are more likely to be jammed, and have a more limited view of the terrain. Under this scenario, the HF may assist one or more LFs such that they, too, can have similar accuracy as the HF in a GPS-denied environment.
AB - Under the Air Force Research Laboratory (AFRL) Collaborative Robust Integrated Sensor Positioning (CRISP) program, Northrop Grumman Corporation (NGC) is designing and building a collaborative navigation system for multiple airborne platforms. The collaborative navigation architecture has been designed to take advantage of AFRL's Layered Sensing construct which enables platforms to share information. In particular, the ability to share GPS, relative range, imagery, geo-registered maps, and other measurements opens up many opportunities to improve the navigational accuracy and the robustness to GPS-denied conditions. In the CRISP program, the collaborative navigation system is being designed to be more robust and accurate by leveraging the asymmetry in the sensing, computation, and communication capabilities of disparate platforms. For example, the system takes advantage of higher performing sensors on the high-flyer (HF) platform, which are less susceptible to jamming, and cameras that generate larger sensor footprint and higher resolution images of the terrain. The low-flyers (LFs) have poorer navigation sensors, are more likely to be jammed, and have a more limited view of the terrain. Under this scenario, the HF may assist one or more LFs such that they, too, can have similar accuracy as the HF in a GPS-denied environment.
KW - asymmetric
KW - collaborative navigation
KW - layered sensing
KW - vision-aided
UR - http://www.scopus.com/inward/record.url?scp=84866259708&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866259708&partnerID=8YFLogxK
U2 - 10.1109/PLANS.2012.6236955
DO - 10.1109/PLANS.2012.6236955
M3 - Conference contribution
AN - SCOPUS:84866259708
SN - 9781467303866
T3 - Record - IEEE PLANS, Position Location and Navigation Symposium
SP - 777
EP - 782
BT - Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium, PLANS 2012
T2 - 2012 IEEE/ION Position, Location and Navigation Symposium, PLANS 2012
Y2 - 23 April 2012 through 26 April 2012
ER -