This National Research Council (NRC) study, commissioned
by the U.S. Department of Defense (DOD) in response
to a mandate from Congress, addresses the question
of whether there are alternatives to antipersonnel landmines
(APL)—including technologies, tactics, and operational concepts.
The study was conducted at an interesting historical
juncture, when the United States is at peace and, at the same
time, the number of new technologies rich in military possibilities
is unprecedented. The convergence of these two factors
presents the U.S.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Real-Time Landmine Detection with Ground-Penetrating Radar Using Discriminative and Adaptive Hidden Markov Models
The goal of our research is to develop an autonomous robot for subsurface mapping. We are motivated by the growing need for mapping buried pipes, hazardous waste, landmines and other buried objects. Most of these are large scale mapping problems, and to manually construct subsurface maps in these cases would require a signiﬁcant amount of resources. Therefore, automating the subsurface mapping process is an important factor in alleviating these problems. To achieve our goal, we have developed a robotic system that can autonomously gather and process Ground Penetrating Radar (GPR) data.