1 citations · 2 across the 4 of their papers we have counts for
4 papers
Probabilistic Multimodal Depth Estimation Based on Camera-LiDAR Sensor Fusion
Johan S. Obando-Ceron, Victor Romero-Cano, Sildomar Monteiro
Multi-modal depth estimation is one of the key challenges for endowing autonomous machines with robust robotic perception capabilities. There have been outstanding advances in the…
Monocular visual autonomous landing system for quadcopter drones using software in the loop
Miguel Saavedra-Ruiz, Ana Mario Pinto-Vargas, Victor Romero-Cano
Autonomous landing is a capability that is essential to achieve the full potential of multi-rotor drones in many social and industrial applications. The implementation and testing…
High-level camera-LiDAR fusion for 3D object detection with machine learning
Gustavo A. Salazar-Gomez, Miguel A. Saavedra-Ruiz, Victor A. Romero-Cano
This paper tackles the 3D object detection problem, which is of vital importance for applications such as autonomous driving. Our framework uses a Machine Learning (ML) pipeline on…
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data
Johan S. Obando-Ceron, Victor Romero Cano, Walter Mayor Toro
This paper presents a framework for efficiently learning feature selection policies which use less features to reach a high classification precision on large unstructured data. It…