To aid in robot navigation and environment analysis, visual SLAM systems process visual
data. Things like AMRs (autonomous mobile robots) and AGVs (autonomous guided …

This work focuses on finding the extrinsic parameters (rotation and translation) between the
lidar and the stereo camera setups. We use a planar checkerboard and place it inside the …

This work focuses on Registration or Alignment of 3D point sets. Although the Registration
problem is a well established problem and it's solved using multiple variants of Iterative …

This study presents a comprehensive multi-sensor dataset designed for 3D mapping in
challenging indoor and outdoor environments. The dataset comprises data from infrared …

Mobile industrial robotic vehicles are using cutting edge technologies and have been widely
accepted as a means of sustainability in the last decade. Recent navigation approaches are …

This paper deals with the problem of simultaneous localization and mapping (SLAM).
Providing both accurate environment's map and pose estimation is necessary to correctly …

The problem of non-Gaussian noise/outliers has been intrinsic in modern Simultaneous
Localization and Mapping (SLAM) applications. Despite numerous algorithms in SLAM, it …

This paper presents an update on the research and development of the Intelligent Power
Wheelchair (IPW) upgrade kit. First, we review the last three years of trials, then we describe …

Reinforcement learning (RL) enables agents to make a decision based on a reward
function. However, in the process of learning, the choice of values for learning algorithm …

Static environments are a prerequisite for most visual simultaneous localization and
mapping (SLAM) systems because the dynamic matching points from moving objects in the …