3 papers
cs.CV2024
VBR: A Vision Benchmark in Rome
Leonardo Brizi, Emanuele Giacomini, Luca Di Giammarino +4
This paper presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data. We introduce a new benchmark targeting visua…
cs.RO2023
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…
cs.RO2023
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…