7 citations · 11 across the 14 of their papers we have counts for
5 papers · 1 filter
4D Radar-Inertial Odometry based on Gaussian Modeling and Multi-Hypothesis Scan Matching
Fernando Amodeo, Luis Merino, Fernando Caballero
4D millimeter-wave (mmWave) radars are sensors that provide robustness against adverse weather conditions (rain, snow, fog, etc.), and as such they are increasingly used for odomet…
Physical simulation of Marsupial UAV-UGV Systems Connected by a Variable-Length Hanging Tether
Jose Enrique Maese, Fernando Caballero, Luis Merino
This paper presents a simulation framework able of modeling the dynamics of a hanging tether with adjustable length, connecting a UAV to a UGV. The model incorporates the interacti…
Loosely coupled 4D-Radar-Inertial Odometry for Ground Robots
Lucia Coto Elena, Fernando Caballero, Luis Merino
Accurate robot odometry is essential for autonomous navigation. While numerous techniques have been developed based on various sensor suites, odometry estimation using only radar a…
Adaptive Social Force Window Planner with Reinforcement Learning
Mauro Martini, Noé Pérez-Higueras, Andrea Ostuni +3
Human-aware navigation is a complex task for mobile robots, requiring an autonomous navigation system capable of achieving efficient path planning together with socially compliant…
ARS548_ros. An ARS 548 RDI radar driver for ROS
Fernando Fernández-Calatayud, Lucía Coto-Elena, David Alejo +3
The ARS 548 RDI Radar is a premium model of the fifth generation of 77 GHz long range radar sensors with new RF antenna arrays, which offer digital beam forming. This radar measure…