Results 61 to 70 of about 200,418 (165)

The common state filter for SLAM [PDF]

, 2008
This paper presents the Common State Filter (CSF), a novel and efficient suboptimal Multiple Hypothesis SLAM (MHSLAM) method for Kalman Filter-based SLAM algorithms. Conventional MHSLAM algorithms require the entire vehicle and map state to be copied for
Parsley, MP, S.J. Julier, Julier, SJ, M.P. Parsley   +3 more
core   +1 more source

NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis

Computer Graphics Forum, EarlyView.
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis, Darius Rückert, Marc Stamminger, Linus Franke   +3 more
wiley   +1 more source

Evaluation of Lidar-based 3D SLAM algorithms in SubT environment [PDF]

, 2023
Autonomous navigation of robots in harsh and GPS denied subterranean (SubT) environments with lack of natural or poor illumination is a challenging task that fosters the development of algorithms for pose estimation and mapping.
Nikolakopoulos, George, Kanellakis, Christoforos, Koval, Anton   +2 more
core  

Visual-LiDAR Localization and Tree Map Building for Autonomous Robot in Unstructured Forests

IEEE Access
This study proposes a Visual-LiDAR (VL) localization and tree trunk mapping method for an autonomous robot in unstructured forests. In unstructured outdoor environments such as forests and orchards, the GPS signal is often unreliable and occluded by ...
Kwanwoo Park, Soon-Yong Park
doaj   +1 more source

Extended Reality in Endodontics: A Review of Current Applications and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Extended reality (XR) technologies, encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), are increasingly used in endodontic education and practice. A gap exists regarding understanding of XR's applications and limitations among endodontic educators and practitioners.
Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Peng Yuan Zhou, Damiano Pasqualini, Henry F. Duncan, Ruben Pauwels, Ali Nosrat   +6 more
wiley   +1 more source

Robust Lidar SLAM Under Adverse Weather [PDF]

, 2023
LiDAR Simultaneous Localization and Mapping (SLAM) technologies, which are the foundational technology of autonomous driving, have attracted large interest recently and been a significant research field. The performance of existing State-Of-The-Art LiDAR
Cheng, Qian
core  

A Review of Simultaneous Localization and Mapping for the Robotic-Based Nondestructive Evaluation of Infrastructures

Sensors
The maturity of simultaneous localization and mapping (SLAM) methods has now reached a significant level that motivates in-depth and problem-specific reviews.
Ali Ghadimzadeh Alamdari, Farzad Azizi Zade, Arvin Ebrahimkhanlou   +2 more
doaj   +1 more source

Unmanned Aerial Systems for Corrosion Detection: Multi‐Sensor Technologies, Challenges, and Opportunities for Next‐Generation Inspection

Quality and Reliability Engineering International, Volume 42, Issue 6, Page 3565-3583, October 2026.
ABSTRACT Corrosion remains a critical threat to the integrity and service life of infrastructure in industries such as oil, gas, construction, renewable energy, and transportation. Traditional inspection methods, being labor‐intensive, hazardous, and often subjective, fall short in addressing modern inspection demands.
Alhossein Alharbi, Yunes Alqudsi, Alhasan Ali Alharbi, Mohammed Basheer Mohiuddin   +3 more
wiley   +1 more source

SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths

IEEE Access
Simultaneous Localization and Mapping (SLAM) algorithms based on visual and light detection and ranging (LiDAR) technologies have shown remarkable capabilities in robot navigation, particularly for mapping and navigating unfamiliar environments. However,
Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi   +7 more
doaj   +1 more source

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

Journal of Field Robotics, Volume 43, Issue 7, Page 4382-4401, October 2026.
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, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source