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 ...

Timothy Graham receives funding from the Australian Research Council (ARC) for the Discovery Project, 'Understanding and Combatting "Dark Political Communication"'. A new study published today in ...

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 ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

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 ...

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...

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 ...

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 ...