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 ...

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 ...

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 ...

Social media algorithms shape what users see, influencing emotions, perceptions, and mental well-being in ways that often go unnoticed. This article examines how these automated systems can amplify ...

SHANGHAI, Sept 10 (Reuters) - Alibaba's (9988.HK), opens new tab mapping app Amap is moving away from its traditional focus on navigation and encroaching into rival Meituan's (3690.HK), opens new tab ...

Do you remember the early days of social media? The promise of connection, of democratic empowerment, of barriers crumbling and gates opening? In those heady days, the co-founder of Twitter said that ...

The accuracy of echocardiographic estimation of pulmonary artery pressure has been questioned in patients with severe tricuspid regurgitation (TR). This study aimed to evaluate the accuracy of ...

Abstract: Existing visual simultaneous localization and mapping (SLAM) algorithms excel in stable illumination variation and static environments, but struggle in dynamic environments with varying ...