To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...

ABSTRACT: To address the limitations of traditional multi-camera-IMU state estimation systems—namely, insufficient localization accuracy in complex environments and poor robustness under abnormal IMU ...

Autonomous mapping company Emesent has launched the Emesent GX1, an integrated simultaneous localization and mapping (SLAM) and real-time kinematic (RTK) scanner. The company is exhibiting the GX1 at ...

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 company claims the device achieves ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

Abstract: Existing dynamic scene visual SLAM methods indiscriminately remove feature points on dynamic target bounding boxes when using object detection algorithms to detect prior targets, resulting ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

Tersus GNSS has launched the MVP S1 RTK-SLAM handheld 3D laser scanner for mobile mapping and reality capture. The MVP S1 uses GNSS through an AI-driven RTK-SLAM workflow, as well as lidar data with ...

Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...

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 ...