Daniel Fusaro

Horticultural Temporal Fruit Monitoring via 3D Instance Segmentation and Re-Identification using Colored Point Clouds

Point-Plane Projections for Accurate LiDAR Semantic Segmentation in Small Data Scenarios

DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation

Matrix-Based Vector Representations in Neural Networks for Classifying Molecular Biology Data

Insect identification by combining different neural networks

ConUDA: Confidence-Guided Pseudo-Label Sampling for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation

Real-time Underwater Place Recognition in Synthetic and Real Environments using Multibeam Sonar and Learning-based Descriptors

Spatio-Temporal Consistent Semantic Mapping for Robotics Fruit Growth Monitoring

Sample Size for Training and Testing: Segment Anything Models and Supervised Approaches

P-SVM2: Enhancing LiDAR-based Traversability Analysis with Augmented Point Cloud Descriptor for Autonomous Mobile Systems

Exploiting Local Features and Range Images for Small Data Real-Time Point Cloud Semantic Segmentation

A Sonar-based AUV Positioning System for Underwater Environments with Low Infrastructure Density

Improving Existing Segmentators Performance with Zero-Shot Segmentators

Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition

Pyramidal 3D feature fusion on polar grids for fast and robust traversability analysis on CPU

Real-time Free Space Semantic Segmentation for Detection of Traversable Space for an Intelligent Wheelchair

An hybrid approach to improve the performance of encoder-decoder architectures for traversability analysis in urban environments

Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU