This repository contains an enhanced, real-time ground segmentation algorithm for LiDAR point clouds. The core of the project is a highly optimized RANSAC-based plane estimator that leverages CUDA for ...

Abstract: RANSAC is a popular and robust fitting algorithm. In the field of image processing, RANSAC can be successfully used to reject false correspondences between similar images. Due to its ...

Abstract: Point clouds registration is one of the key parts in 3D model reconstruction. Random Sample Consensus (RANSAC) is a typical algorithm for coarse registration, which can provide initial ...

Field crops are generally planted in rows to improve planting efficiency and facilitate field management. Therefore, automatic detection of crop planting rows is of great significance for achieving ...

Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and ...

This REPO is our own implementation, in python, for a camera pose estimation using the eight-point algorithm [1], the non-linear optimization over residual errors (Gold Standard Method [GSM]) [2], and ...

ABSTRACT: Monocular visual odometry (VO) is the process of determining a user’s trajectory through a series of consecutive images taken by a single camera. A major problem that affects the accuracy of ...