Project Details
GRK 1362: Cooperative, Adaptive and Responsive Monitoring in Mixed Mode Environments
Subject Area
Computer Science
Term
from 2006 to 2015
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 19943486
How can large numbers of communicating sensors with vastly different computing and communication resources, ranging from simple temperature sensors to complex vision systems, cooperate to monitor their environment? How can multiple land, water and airborne autonomous vehicles navigate and coordinate with each other and with stationary sensors and a human mission manager? How can these teams of autonomous mobile sensor platforms be used in cooperative search and rescue missions in a disaster situation?
To answer these questions a variety of scientific and technological challenges must be solved ranging from dynamic terrain recognition to the automatic recognition of human shapes, from basic questions about dependability and quality of service in the communication and middleware platforms to the coordination of teams of autonomous vehicles.
These fundamental problems yield cutting edge research topics for PhD theses which cannot be considered individually. A close, interdisciplinary approach by the participating scientists of the departments of computer science, electrical engineering and information technology, and mechanical engineering is needed. An innovative supervision concept will provide both goal oriented research and international exposure. An additional distinguishing feature is the cooperation with the Virginia Polytechnic Institute and State University (Virginia Tech). Through the interconnection of the expertise in unmanned systems at Virginia Tech with the ones in communications and middleware in highly unstructured environments, image understanding and cooperation of teams of mobile robots at TU Darmstadt a win-win situation results from which the PhD students of both institutions will benefit.
To answer these questions a variety of scientific and technological challenges must be solved ranging from dynamic terrain recognition to the automatic recognition of human shapes, from basic questions about dependability and quality of service in the communication and middleware platforms to the coordination of teams of autonomous vehicles.
These fundamental problems yield cutting edge research topics for PhD theses which cannot be considered individually. A close, interdisciplinary approach by the participating scientists of the departments of computer science, electrical engineering and information technology, and mechanical engineering is needed. An innovative supervision concept will provide both goal oriented research and international exposure. An additional distinguishing feature is the cooperation with the Virginia Polytechnic Institute and State University (Virginia Tech). Through the interconnection of the expertise in unmanned systems at Virginia Tech with the ones in communications and middleware in highly unstructured environments, image understanding and cooperation of teams of mobile robots at TU Darmstadt a win-win situation results from which the PhD students of both institutions will benefit.
DFG Programme
Research Training Groups
Applicant Institution
Technische Universität Darmstadt
Spokesperson
Professor Dr. Oskar von Stryk