Automation is increasingly at the forefront of transportation research, with the potential to
bring fully autonomous vehicles to our roads in the coming years. This comprehensive …

Automated guided vehicles (AGVs) and autonomous mobile robots (AMRs) have been
widely used recently to solve various engineering problems in logistics, manufacturing, and …

We present the first application of 3D Gaussian Splatting in monocular SLAM the most
fundamental but the hardest setup for Visual SLAM. Our method which runs live at 3fps …

In this paper we introduce GS-SLAM that first utilizes 3D Gaussian representation in the
Simultaneous Localization and Map** (SLAM) system. It facilitates a better balance …

We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that
performs robust camera tracking and high-fidelity surface reconstruction in real time. Co …

Neural implicit representations have recently demonstrated compelling results on dense
Simultaneous Localization And Map** (SLAM) but suffer from the accumulation of errors …

We propose a dense neural simultaneous localization and map** (SLAM) approach for
monocular RGBD input which anchors the features of a neural scene representation in a …

Dense simultaneous localization and map** (SLAM) is crucial for robotics and augmented
reality applications. However current methods are often hampered by the non-volumetric or …

Neural implicit representations have recently shown encouraging results in various
domains, including promising progress in simultaneous localization and map** (SLAM) …

Neural implicit representations have recently become popular in simultaneous localization
and map** (SLAM), especially in dense visual SLAM. However, existing works either rely …