For image registration, feature detection and description are critical steps that identify the
keypoints and describe them for the subsequent matching to estimate the geometric …

Industry is increasingly turning to reconfigurable architectures like FPGAs and CGRAs for
improved performance and energy efficiency. Unfortunately, adoption of these architectures …

Multi-objective optimization is a crucial matter in computer systems design space exploration
because real-world applications often rely on a trade-off between several objectives …

Support for Machine Learning (ML) applications in networking has significantly improved
over the last decade. The availability of public datasets and programmable switching fabrics …

SLAM is becoming a key component of robotics and augmented reality (AR) systems. While
a large number of SLAM algorithms have been presented, there has been little effort to unify …

Abstract Development of Simultaneous Localization and Map** (SLAM) systems in the era
of autonomous navigation and the growing demand for autonomous robots have put into …

Visual understanding of 3-D environments in real time, at low power, is a huge
computational challenge. Often referred to as simultaneous localization and map** …

As the SLAM research area matures and the number of SLAM systems available increases,
the need for frameworks that can objectively evaluate them against prior work grows. This …

Current FPGA programming tools require extensive hardware-specific manual code tuning
to achieve performance, which is intractable for most software application teams. We present …