The Emesent GX1 combines SLAM and integrated RTK to deliver independently validated 5–10mm global accuracy while reducing site survey time by up to 95%.

Abstract: This paper proposes an improved SLAM method for dynamic environments by fusing camera, LiDAR, and IMU data. It combines geometric constraints with deep learning to detect and filter dynamic ...

Emesent has launched the GX1, a mobile scanner that integrates SLAM, RTK and 360-degree imagery capture in a single handheld or backpack-mounted unit.

The new scanner is suitable for topographic and road surveys, Scan to BIM, and construction progress tracking.

Simultaneous localization and mapping (SLAM) is widely used in autonomous driving, augmented reality, and embodied intelligence. In real-world settings, sensor measurements often suffer from ...

Abstract: In order to solve issues such as low accuracy, poor robustness and tracking loss in dynamic environments in traditional Simultaneous Localization and Mapping (SLAM) techniques, a semantic ...

recently I bought a Robosense Airy and since then I have been on the lookout for slam algorithms for lidar only or lidar+imu types. Seriously, are there even any slam algorithms that directly support ...

This repository is the official baseline project for the SLAM FPGA Algorithm Competition, providing a complete point cloud localization demo framework. Please read this document carefully before ...