Search Results for author:
Found 12 papers, 7 papers with code
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
When dealing with few-shot settings, i. e. with a small set of input views, the training could overfit those views, leading to artifacts and geometric and chromatic inconsistencies in the resulting rendering.
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition
Autonomous navigation in underwater environments presents challenges due to factors such as light absorption and water turbidity, limiting the effectiveness of optical sensors.
KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose Estimation
We release with this paper the code of our method and the TTD dataset.
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation.
People Tracking in Panoramic Video for Guiding Robots
In this paper, we propose a set of targeted methods that allow to effectively adapt to panoramic videos a standard people detection and tracking pipeline originally designed for perspective cameras.
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
The proposed approach achieves cutting-edge results without the need of training the models with real annotated data of human body parts.
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
In this work, we propose an alternative solution with respect to the common data augmentation methods, applying it to the fundamental problem of crop/weed segmentation in precision farming.
Receding Horizon Task and Motion Planning in Changing Environments
Our approach iteratively solves a reduced planning problem over a receding window of a limited number of future actions during the implementation of the actions.
Robotics
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming
The combination of aerial survey capabilities of Unmanned Aerial Vehicles with targeted intervention abilities of agricultural Unmanned Ground Vehicles can significantly improve the effectiveness of robotic systems applied to precision agriculture.
Robust Intrinsic and Extrinsic Calibration of RGB-D Cameras
Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications.
Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detection
We compare the classification results obtained using both real and synthetic images as training data.
Active Detection and Localization of Textureless Objects in Cluttered Environments
This paper introduces an active object detection and localization framework that combines a robust untextured object detection and 3D pose estimation algorithm with a novel next-best-view selection strategy.
