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 …

Building accurate maps is a key building block to enable reliable localization planning and
navigation of autonomous vehicles. We propose a novel approach for building accurate 3D …

3D point cloud maps are widely used in robotic tasks like localization and planning.
However, dynamic objects, such as cars and pedestrians, can introduce ghost artifacts …

Global point clouds that correctly represent the static environment features can facilitate
accurate localization and robust path planning. However, dynamic objects introduce …

The dynamic nature of the real world is one of the main challenges in robotics. The first step
in dealing with it is to detect which parts of the world are dynamic. A typical benchmark task …

In the process of urban environment mapping, the sequential accumulations of dynamic
objects will leave a large number of traces in the map. These traces will usually have bad …

This paper presents a fully unsupervised deep change detection approach for mobile robots
with 3D LiDAR. In unstructured environments, it is infeasible to define a closed set of …

With the increasing demand for mobile robots and autonomous vehicles, several
approaches for long-term robot navigation have been proposed. Among these techniques …

3D point cloud map plays an important role in three-dimensional reconstruction,
autonomous robot navigation, autonomous driving and environmental monitoring, etc …

Despite the remarkable advancements in deep learning-based perception technologies and
simultaneous localization and mapping~(SLAM), one can face the failure of these …