State estimation plays an important role in cyber-physical systems.

... real - time implementation , but a highly accurate tracking algorithm is usually time - consuming . This paper pro- poses a CPU - GPU platform based particle filter for multi - view ball track- ing , including 2 proposals : vectorized ...

In this work, an additional goal is fully exploiting hardware implementation advantages. By using the computational resources available in a FPGA device, better performance results in terms of computation time are expected.

This book was conceived as a gathering place of new ideas from academia, industry, research and practice in the fields of robotics, automation and control.

... based on the UAV dataset and has not been applied to the UAV physical object. To solve the problem, Chakrabarty et al. [11] combined a CMT tracking algorithm with a UAV platform, and completed the relative distance keeping and real-time ...

... based filtering techniques i.e., PHD, labeled multi-Bernoulli (LMB) filters, to tackle the underlying multi-target tracking problem. PHD and LMB filters have been presented to be effective in tracking applications that require particle ...

The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including the solution to ...

This book is a must-have for anyone serious about rendering in real time. With the announcement of new ray tracing APIs and hardware to support them, developers can easily create real-time applications with ray tracing as a core component.

... target object in each frame of an input image sequence [6]. Up to now, many object tracking approaches have been developed, such as PF (Particle ... Real time¡± is an inherent requirement for image tracking applications. How- ever, KLT ...