This article presents a survey of simultaneous localization and mapping (SLAM) and data
fusion techniques for object detection and environmental scene perception in unmanned …

We present LiDARGen, a novel, effective, and controllable generative model that produces
realistic LiDAR point cloud sensory readings. Our method leverages the powerful score …

One of the most challenging topics in robotics is simultaneous localization and mapping
(SLAM) in the indoor environments. Due to the fact that Global Navigation Satellite Systems …

Simultaneous localization and mapping (SLAM) is a dual process responsible for the ability
of a robotic vehicle to build a map of its surroundings and estimate its position on that map …

Traditional precision measurement adopts discrete artificial static observation, which cannot
meet the demands of the dynamic, continuous, fine and high-precision holographic …

Indoor and outdoor mapping studies can be completed relatively quickly, depending on the
developments in Mobile Mapping Systems. Especially in indoor environments where high …

Several works have been carried out in the realm of RGB-D SLAM development, yet they
have neither been thoroughly assessed nor adapted for outdoor vehicular contexts. This …

This paper uses virtual simulations to examine the interaction between autonomous vehicles
(AVs) and their surrounding environment. A framework was developed to estimate the …

Este artículo presenta técnicas alternativas de localización y mapeo simultáneo del
ambiente, que permiten a los robots móviles auto referenciarse en un ambiente de …

The close relation between spatial kinematics and line geometry has been proven to be
fruitful in surface detection and reconstruction. However, methods based on this approach …