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]

open access: yes, 2007
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

open access: yesCoRR
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

open access: yesJournal of Field Robotics, EarlyView.
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]

open access: yes
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]

open access: yes, 2012
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

Visual and Visual–Inertial SLAM for UGV Navigation in Unstructured Natural Environments: A Survey of Challenges and Deep Learning Advances

open access: yesRobotics
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

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

open access: yesJournal of Field Robotics, EarlyView.
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

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

open access: yesJournal of Field Robotics, EarlyView.
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

open access: yesJournal of Field Robotics, EarlyView.
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]

open access: yes, 2023
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  

Home - About - Disclaimer - Privacy