Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

flow, including Victory TCAD™ and UTMOST IV™, to accelerate the development of its next-generation Silicon Carbide (SiC) power devices. As demand for high-efficiency power electronics ...

You will be introduced to the roadmap for the course and the specialization, and will learn some applications that use Kalman filters. Kalman filters estimate the "state" of a system that is described ...

You will learn how to estimate the parameters of a state-space model using nonlinear Kalman filters ... You will implement a socket server application and deploy on a QEMU based Embedded System using ...

Fully Customizable — Good to use as-is or change as you see fit ... ready to embrace this technological revolution. With AI applications projected to consume 45% of data center power ...

The importance of precise estimation is demonstrated by Pandit's involvement in projects like the mixed-use Bridgeport Suffolk, Virginia, development. This development encompassed diverse elements, ...

using a power-based covariance matrix fitting method to estimate the noise power and then to select the active regions. To compensate for off-grid bias effects, a 2-D dictionary learning procedure is ...

However, determining relevant parameters for existing traffic flow prediction models poses challenges. To address this issue, this study proposes a hybrid model, sparrow search algorithm-gated ...

…as construction work on Phase 1 nears completion In a very dramatic manner, parcels of land along the 700-kilometre Lagos-Calabar ...