Iacopo Catalano's starred repositories
uwb-cooperative-mrs-localization
This repo contains ROS nodes that implement a relative Monte-Carlo multi-robot localization method by fusing UWB range measurements with odometry estimations and cooperative spatial detections.
livox_cloud_undistortion
This project is used for lidar point cloud undistortion.
dynamic_scan_tracking
This is the code implementation for the paper UAV Tracking with Solid-State Lidars: Dynamic Multi-Frequency Scan Integration.
tiers-lidars-dataset
Multi-modal multi-lidar dataset
uwb-drone-dataset
Ultra-wideband (UWB) Localization for Autonomous UAV Flight in GNSS-denied Environments
CarND-LaneLines-P1
Basic computer vision pipeline to detect lane lines in a video.
CarND-Advanced-Lane-Lines
Image processing pipeline for detecting highway lane in a video
CarND-Traffic-Sign-Classifier-Project
CNN and Data Augmentation to train a traffic sign classifier with OpenCv and Tensorflow
CarND-Behavioral-Cloning-P3
CNN model to drive autonomously a car in a simulator using Keras
CarND-Vehicle-Detection
Vehicle Detection and Tracking pipeline with OpenCV, HOG and SVM.
vr-robot-kart
🏎️ Robot car drivable through hand movements connected to a VR headset
ET_Project
Eye tracking course final project.
Shader-Image-Processing
A series of image processing algorithms using Three JS and shaders
openMp-CUDA-Image-Processing
Image Processing Methods implemented with openMP, CUDA and shared memory
Equirectangular-Cubemaps-Transform-CUDA-OpenMp
Conversion of 360 stereo images from equirectangular to cube maps using CUDA and OpenMp
Color-Segmentation-CUDA
Color segmentation via Lab color space using CUDA
d3.js-visualization
Practice exercises using d3.js
LUT_interpolation
LUT trilinear interpolation
robot_arm_three_js
Robot arm with 3 degrees of freedom built using three.js
Color_Science_Lab
Color Science Lab built using only three.js
Threejs-practice
Practice exercises using three.js
Sensor-Fusion-3D-Multi-Object-Tracking
Extended Kalman Filter and Deep Learning to detect vehicles from RGB and LiDAR data (Sensor Fusion and Tracking project of the Udacity Self-Driving Car Engineer Nanodegree Program)