Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

Dynamic radiance field reconstruction methods aim to model the time-varying structure and
appearance of a dynamic scene. Existing methods, however, assume that accurate camera …

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 …

Reliable and accurate localization and map** are key components of most autonomous
systems. Besides geometric information about the mapped environment, the semantics …

The scene rigidity is a strong assumption in typical visual Simultaneous Localization and
Map** (vSLAM) algorithms. Such strong assumption limits the usage of most vSLAM in …

Simultaneous localization and map** (SLAM), as one of the core prerequisite
technologies for intelligent mobile robots, has attracted much attention in recent years …

In recent years, Simultaneous Localization and Map** (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …