动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
-
Updated
Aug 14, 2020 - C++
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
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
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.
Project: Camera Based 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
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.
Minimal-dependency Computer Vision & Image Processing library built in C++17.
Code for Eye Tracking For Target Acquisition In Sparse Visualization on ETRA ETVIS2020
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Hierarchiacal Motion Tracking algorithm based on ORB
Computer vision experiment. Include image match algorithm, such as ferns, sift, surf and orb, and intelligent scissors algorithm which is realized on mfc.
Stitching and fusion of on-board surround view BEV real world image sequences, odometer estimation and output of large pixel map
Computer Vision Basic Algorithms. SIFT, ORB, Frame Matching, Stitching, Basic Panorama
Stitching and fusion of on-board surround view BEV real world image sequences, odometer estimation and output of large pixel map
3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.
Add a description, image, and links to the orb topic page so that developers can more easily learn about it.
To associate your repository with the orb topic, visit your repo's landing page and select "manage topics."