Simultaneous localization and map** (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

Camera localization involves the estimation of the camera pose of an image from a random
scene. We used a single image or sequence of images or videos as the input. The output …

Recent advances in artificial intelligence have enhanced the abilities of mobile robots in
dealing with complex and dynamic scenarios. However, to enable computationally intensive …

Abstract Simultaneous Localization and Map** (SLAM) have been widely studied over the
last years for autonomous vehicles. SLAM achieves its purpose by constructing a map of the …

Hardware accelerators based on field programmable gate array (FPGA) and system on chip
(SoC) devices have gained attention in recent years. One of the main reasons is that these …

Building domain-specific accelerators is becoming increasingly paramount to meet the high-
performance requirements under stringent power and real-time constraints. However …

Modern sampling-based motion planning algorithms typically take between hundreds of
milliseconds to dozens of seconds to find collision-free motions for high degree-of-freedom …

Artificial intelligence has made remarkable advancements in recent years, leading to the
development of algorithms and models capable of handling ever-increasing amounts of …

Simultaneous localization and map** (SLAM) is an active research topic in machine
vision and robotics. It has various applications in many different fields such as mobile robots …

Robotic systems, such as autonomous unmanned aerial vehicles (UAVs) and self-driving
cars, have been widely deployed in many scenarios and have the potential to revolutionize …