Results 111 to 120 of about 9,269 (274)
Towards Visual Localization, Mapping and Moving Objects Tracking by a Mobile Robot: a Geometric and Probabilistic Approach [PDF]
Dans cette thèse, nous résolvons le problème de reconstruire simultanément une représentation de la géométrie du monde, de la trajectoire de l'observateur, et de la trajectoire des objets mobiles, à l'aide de la vision. Nous divisons le problème en trois
Sola, Joan
core
VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM
We present VIGS-SLAM, a visual-inertial 3D Gaussian Splatting SLAM system that achieves robust real-time tracking and high-fidelity reconstruction. Although recent 3DGS-based SLAM methods achieve dense and photorealistic mapping, their purely visual design degrades under challenging conditions such as motion blur, low texture, and exposure variations ...
Zhu, Zihan +5 more
openaire +2 more sources
The Evolution of Autonomous Systems for Planetary Cave Exploration: A Review
ABSTRACT The exploration of Subsurface Access Points (SAPs), such as lava tubes on the Moon and Mars, has gained significant interest due to their potential as stable environments shielded from surface radiation and temperature extremes. These sites are considered high‐value targets for detecting water and signs of ancient life, and assessing their ...
Sarah Swinton +4 more
wiley +1 more source
A Comparative Analysis of Visual SLAM Algorithms for Accurate Egomotion Estimation: Case Study with a Quadruped Robot Platform [PDF]
openSimultaneous Localization and Mapping (SLAM) algorithms are critical for enabling autonomous navigation in robotics. Specifically, the precision of the SLAM algorithm in accurately estimating the robot's position is crucial, as unreliable egomotion ...
POMPEIANO, SHAB CESARE AKIRA
core
Autonomous Exploration Using Kinect and Laser Range Finder [PDF]
Autonomous exploration has received a large attention in robotic community. Recently, the low cost RGB-D sensor Microsoft Kinect has got more and more applications in mapping and localization, since it can provide abundant depth environment information ...
J. Du +15 more
core +1 more source
Localization and mapping remain critical challenges for Unmanned Ground Vehicles (UGVs) operating in unstructured natural environments, such as forests and agricultural fields.
Tiago Pereira +3 more
doaj +1 more source
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling +3 more
wiley +1 more source
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini +3 more
wiley +1 more source
FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall +2 more
wiley +1 more source
Deep learning feature-based visual SLAM [PDF]
Visual SLAM is often used in autonomous agents for localization and mapping. A key element of visual SLAM is the feature detector-descriptor used to extract tracking keypoints from images of the environment.
Yong, Duan Kai
core

