Foliar Moisture Content from the Spectral Signature for Wildfire Risk Assessments in Valparaíso-Chile. - Juan Villacrés; Tito Arevalo-Ramirez; Andrés Fuentes; Pedro Reszka; Fernando Alfredo Auat Cheeín (Sensors, 2019)

Conditional Random Field Features and Structure Assessment for Digital Terrain Modeling. - Tito Arevalo-Ramirez; Fernando Alfredo Auat Cheeín (IEEE Access, 2021)

Assessment of Multispectral Vegetation Features for Digital Terrain Modeling in Forested Regions. - Tito Arevalo-Ramirez; Javier Guevara; Robert Guamán Rivera; Juan Villacrés; Oswaldo Menéndez; Andrés Fuentes; Fernando Alfredo Auat Cheeín (IEEE Trans. Geosci. Remote. Sens., 2022)

Predicting the Elevation of Canopy Occluded Ground Points in Dense Forest Regions. - Tito Arevalo-Ramirez; Fernando Alfredo Auat Cheeín (IEEE Trans. Geosci. Remote. Sens., 2022)

Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images. - Tito Arevalo-Ramirez; Analí Alfaro; José M. Saavedra; Matías Recabarren; Mauricio Ponce-Donoso; José Delpiano (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

LSTM-Enhanced Deep Reinforcement Learning for Robust Trajectory Tracking Control of Skid-Steer Mobile Robots Under Terra-Mechanical Constraints. - Jose Manuel Alcayaga; Oswaldo A. Menéndez; Miguel Torres-Torriti; Juan Pablo Vásconez; Tito Arevalo-Ramirez; Alvaro Javier Prado (Robotics, 2025)

Robust 2D lidar-based SLAM in arboreal environments without IMU/GNSS. - Paola Nazate-Burgos; Miguel Torres-Torriti; Sergio Aguilera Marinovic; Tito Arevalo-Ramirez; Shoudong Huang; Fernando Auat Cheein (CoRR, 2025)