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

Multimodal sensor fusion methods for 3D object detection have been revolutionizing the
autonomous driving research field. Nevertheless, most of these methods heavily rely on …

In this study, we address a gap in existing unsupervised domain adaptation approaches on
LiDAR-based 3D object detection, which have predominantly concentrated on adapting …

Robot perception often fails in uncontrolled environments due to unfamiliar object classes,
different domains, or hardware issues. This poses significant challenges for human-robot …

Abstract 3D object detection is the task of detecting the full 3D pose of objects relative to an
autonomous platform. It is an important perception system that can be used to plan actions …

Replicating a real-world environment is crucial for creating simulations, computer vision,
global and local path planning, and localization. While computer-aided design software is a …