A key challenge for autonomous vehicles is to navigate in unseen dynamic environments.
Separating moving objects from static ones is essential for navigation, pose estimation, and …

Accurate moving object segmentation is an es-sential task for autonomous driving. It can
provide effective information for many downstream tasks, such as collision avoidance, path …

Understanding the scene is key for autonomously navigating vehicles, and the ability to
segment the surroundings online into moving and non-moving objects is a central ingredient …

Real-time detection of moving objects is an essential capability for robots acting
autonomously in dynamic environments. We thus propose Dynablox, a novel online …

Mobile robots that navigate in unknown environments need to be constantly aware of the
dynamic objects in their surroundings for map**, localization, and planning. It is key to …

A map of the environment is an essential component for robotic navigation. In the majority of
cases, a map of the static part of the world is the basis for localization, planning, and …

Identifying moving objects is a crucial capability for autonomous navigation, consistent map
generation, and future trajectory prediction of objects. In this paper, we propose a novel …

Perception of traversable regions and objects of interest from a 3D point cloud is one of the
critical tasks in autonomous navigation. A ground vehicle needs to look for traversable …

A clean and reliable map of the environment is key for a variety of robotic tasks including
localization, path planning, and navigation. Dynamic objects are an inherent part of our …

LiDAR-based Moving Object Segmentation (MOS) aims to locate and segment moving
objects in point clouds of the current scan using motion information from previous scans …