6,596 research outputs found
Interactive Camera Network Design using a Virtual Reality Interface
Traditional literature on camera network design focuses on constructing
automated algorithms. These require problem specific input from experts in
order to produce their output. The nature of the required input is highly
unintuitive leading to an unpractical workflow for human operators. In this
work we focus on developing a virtual reality user interface allowing human
operators to manually design camera networks in an intuitive manner. From real
world practical examples we conclude that the camera networks designed using
this interface are highly competitive with, or superior to those generated by
automated algorithms, but the associated workflow is much more intuitive and
simple. The competitiveness of the human-generated camera networks is
remarkable because the structure of the optimization problem is a well known
combinatorial NP-hard problem. These results indicate that human operators can
be used in challenging geometrical combinatorial optimization problems given an
intuitive visualization of the problem.Comment: 11 pages, 8 figure
Optimal placement of security camera
This research studies the optimization on the placement of security camera. We need to improve the field of view (FOV) coverage of a security camera by only adjusting the location of cameras with minimal numbers of cameras. Two dimensional of floor plan was designed in boundary nodes and internal nodes. Cameras were installed at boundary node in order to view the internal nodes. We propose Binary Integer Programming method which can efficiently find an optimal layout for each camera. Heuristic method of Particle Swarm Optimization (PSO) algorithm is applied on this problem. As a result of this optimization, the FOV coverage of the whole camera network is maximized. This study show that the proposed PSO method perform well and effectively applied in placement of security camera on any design of floor plan
Multi-agent robotic systems and exploration algorithms: Applications for data collection in construction sites
The construction industry has been notoriously slow to adopt new technology
and embrace automation. This has resulted in lower efficiency and productivity
compared to other industries where automation has been widely adopted. However,
recent advancements in robotics and artificial intelligence offer a potential
solution to this problem. In this study, a methodology is proposed to integrate
multi-robotic systems in construction projects with the aim of increasing
efficiency and productivity. The proposed approach involves the use of multiple
robot and human agents working collaboratively to complete a construction task.
The methodology was tested through a case study that involved 3D digitization
of a small, occluded space using two robots and one human agent. The results
show that integrating multi-agent robotic systems in construction can
effectively overcome challenges and complete tasks efficiently. The
implications of this study suggest that multi-agent robotic systems could
revolutionize the industry
Advancing automation and robotics technology for the Space Station Freedom and for the US economy
The progress made by levels 1, 2, and 3 of the Office of Space Station in developing and applying advanced automation and robotics technology is described. Emphasis is placed upon the Space Station Freedom Program responses to specific recommendations made in the Advanced Technology Advisory Committee (ATAC) progress report 10, the flight telerobotic servicer, and the Advanced Development Program. Assessments are presented for these and other areas as they apply to the advancement of automation and robotics technology for the Space Station Freedom
Wide-Area Surveillance System using a UAV Helicopter Interceptor and Sensor Placement Planning Techniques
This project proposes and describes the implementation of a wide-area surveillance system comprised of a sensor/interceptor placement planning and an interceptor unmanned aerial vehicle (UAV) helicopter. Given the 2-D layout of an area, the planning system optimally places perimeter cameras based on maximum coverage and minimal cost. Part of this planning system includes the MATLAB implementation of Erdem and Sclaroff’s Radial Sweep algorithm for visibility polygon generation. Additionally, 2-D camera modeling is proposed for both fixed and PTZ cases. Finally, the interceptor is also placed to minimize shortest-path flight time to any point on the perimeter during a detection event.
Secondly, a basic flight control system for the UAV helicopter is designed and implemented. The flight control system’s primary goal is to hover the helicopter in place when a human operator holds an automatic-flight switch. This system represents the first step in a complete waypoint-navigation flight control system. The flight control system is based on an inertial measurement unit (IMU) and a proportional-integral-derivative (PID) controller. This system is implemented using a general-purpose personal computer (GPPC) running Windows XP and other commercial off-the-shelf (COTS) hardware. This setup differs from other helicopter control systems which typically use custom embedded solutions or micro-controllers.
Experiments demonstrate the sensor placement planning achieving \u3e90% coverage at optimized-cost for several typical areas given multiple camera types and parameters. Furthermore, the helicopter flight control system experiments achieve hovering success over short flight periods. However, the final conclusion is that the COTS IMU is insufficient for high-speed, high-frequency applications such as a helicopter control system
Management, processing and dissemination of sensory data for the Earth Resource Technology Satellite
Data center for management, processing, and dissemination of photographic products generated by ERT
Agent-based material transportation scheduling of AGV systems and its manufacturing applications
制度:新 ; 報告番号:甲3743号 ; 学位の種類:博士(工学) ; 授与年月日:2012/9/10 ; 早大学位記番号:新6114Waseda Universit
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