Architecture for asymmetric collaborative navigation

Zhen Zhu, Stergios Roumeliotis, Joel Hesch, Han Park, Don Venable

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium, PLANS 2012
Number of pages6
StatePublished - 2012
Externally publishedYes
Event2012 IEEE/ION Position, Location and Navigation Symposium, PLANS 2012 - Myrtle Beach, SC, United States
Duration: Apr 23 2012Apr 26 2012

Publication series

NameRecord - IEEE PLANS, Position Location and Navigation Symposium


Other2012 IEEE/ION Position, Location and Navigation Symposium, PLANS 2012
Country/TerritoryUnited States
CityMyrtle Beach, SC


  • asymmetric
  • collaborative navigation
  • layered sensing
  • vision-aided


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