Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …

Fusion of laser range finder (LRF) and camera is widely used in the field of intelligent mobile
robots for performing various tasks, such as autonomous navigation, 2D or 3D mapping …

The demand for multimodal sensing systems for robotics is growing due to the increase in
robustness, reliability and accuracy offered by these systems. These systems also need to …

This letter presents a framework for the target-less extrinsic calibration of stereo cameras
and light detection and ranging (LiDAR) sensors with a non-overlapping field of view (FOV) …

The multi-sensory setups consisting of the laser scanners and cameras are popular as the
measurements complement each other and provide necessary robustness for applications …

Pedestrian detection plays an essential role in the navigation system of autonomous
vehicles. Multisensor fusion-based approaches are usually used to improve detection …

This paper presents a study on the data measurements that the Hokuyo UST-20LX Laser
Rangefinder produces, which compiles into an overall characterization of the LiDAR sensor …

A growing presence of mobile agents is envisaged in the smart factories scenario of the next
future. The safe motion of traditional Automated Guided Vehicles in human-shared …

Three different methods for extrinsic calibration of a 2D laser range finder and a camera
using ping pong balls and the corner of a room are presented and compared with four recent …

Laser rangefinders (LRFs) are widely used in autonomous systems for indoor positioning
and mobile mapping through the simultaneous localization and mapping (SLAM) approach …