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 the source code for REGTR. REGTR utilizes multiple transformer attention layers to directly predict each downsampled point's corresponding location in the other point cloud.

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 ...

Self-driving vehicles and other autonomous systems use lidar (light detection and ranging) systems to gather 3D information about their environment. The vehicle can then carry out perception tasks in ...

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 ...

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 ...