6 papers
I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Miguel Ángel de Miguel, Jorge Beltrán, Juan S. Cely +3
Accurate traversability estimation is essential for safe and effective navigation of outdoor robots operating in complex environments. This paper introduces a novel experience-base…
Joint object detection and re-identification for 3D obstacle multi-camera systems
Irene Cortés, Jorge Beltrán, Arturo de la Escalera +1
In recent years, the field of autonomous driving has witnessed remarkable advancements, driven by the integration of a multitude of sensors, including cameras and LiDAR systems, in…
Towards Autonomous Driving: a Multi-Modal 360 Perception Proposal
Jorge Beltrán, Carlos Guindel, Irene Cortés +7
In this paper, a multi-modal 360 framework for 3D object detection and tracking for autonomous vehicles is presented. The process is divided into four main stages. First,…
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection
Irene Cortes, Jorge Beltran, Arturo de la Escalera +1
The rapid development of embedded hardware in autonomous vehicles broadens their computational capabilities, thus bringing the possibility to mount more complete sensor setups able…
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltran, Carlos Guindel, Francisco Miguel Moreno +3
Understanding driving situations regardless the conditions of the traffic scene is a cornerstone on the path towards autonomous vehicles; however, despite common sensor setups alre…
Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups
Carlos Guindel, Jorge Beltrán, David Martín +1
Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in vehicles; however, t…