Project: Camera Based 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree

Stitching and fusion of on-board surround view BEV real world image sequences, odometer estimation and output of large pixel map

Stitching and fusion of on-board surround view BEV real world image sequences, odometer estimation and output of large pixel map

Final Project of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh

Projects of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh

ORB (Oriented Fast and Rotated BRIEF) feature for 16-bit image

This is a simple high performance one-to-one network stream code for extracting and streaming ORB features from each frame collected by an edge device that utilizes CUDA to some server.

Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).

Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.

Surround View System for Detecting close Obstacles

Orbitcoin

OpenCV compatable ORB feature detector used in ORB-SLAM1/2/3

The CIDLib general purpose C++ development environment

This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL，which can work well on both outdoor and indoor environments

3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

Hierarchiacal Motion Tracking algorithm based on ORB

Computer Vision Basic Algorithms. SIFT, ORB, Frame Matching, Stitching, Basic Panorama

A ROS wrapper for ORB-SLAM2

This project presents visual odometry by Intel RealSense T265 camera with 3 different views.