When comparing two satellite images in a project, I encountered a phenomenon where a large number of areas were detected as "changed!" even though they had not changed at all. That's strange... it ...

Abstract: We present Neural-Guided RANSAC (NG-RANSAC), an extension to the classic RANSAC algorithm from robust optimization. NG-RANSAC uses prior information to improve model hypothesis search, ...

Abstract: This paper presents a new plane extraction (PE) method based on the random sample consensus (RANSAC) approach. The generic RANSAC-based PE algorithm may over-extract a plane, and it may fail ...

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 ...

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 ...

Developing ground robots for agriculture is a demanding task. Robots should be capable of performing tasks like spraying, harvesting, or monitoring. However, the absence of structure in the ...

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 ...