30 citations · 45 across the 13 of their papers we have counts for
5 papers · 1 filter
DRO: Doppler-Aware Direct Radar Odometry
Cedric Le Gentil, Leonardo Brizi, Daniil Lisus +3
A renaissance in radar-based sensing for mobile robotic applications is underway. Compared to cameras or lidars, millimetre-wave radars have the ability to `see' through thin walls…
MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR Odometry
Simone Ferrari, Luca Di Giammarino, Leonardo Brizi +1
LiDAR odometry is the task of estimating the ego-motion of the sensor from sequential laser scans. This problem has been addressed by the community for more than two decades, and m…
CaLib: Simple and Accurate LiDAR-RGB Calibration using Small Common Markers
Emanuele Giacomini, Leonardo Brizi, Luca Di Giammarino +3
In many fields of robotics, knowing the relative position and orientation between two sensors is a mandatory precondition to operate with multiple sensing modalities. In this conte…
Enhancing LiDAR performance: Robust De-skewing Exclusively Relying on Range Measurements
Omar Salem, Emanuele Giacomini, Leonardo Brizi +2
Most commercially available Light Detection and Ranging (LiDAR)s measure the distances along a 2D section of the environment by sequentially sampling the free range along direction…
MD-SLAM: Multi-cue Direct SLAM
Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino +2
Simultaneous Localization and Mapping (SLAM) systems are fundamental building blocks for any autonomous robot navigating in unknown environments. The SLAM implementation heavily de…