Results 61 to 70 of about 14,413,856 (151)
Drift‐Corrected Monocular VIO and Perception‐Aware Planning for Autonomous Drone Racing
Journal of Field Robotics, EarlyView.ABSTRACT The Abu Dhabi Autonomous Racing League (A2RL) x Drone Champions League (DCL) competition requires teams to perform high‐speed autonomous drone racing using only a single camera and a low‐quality inertial measurement unit—a minimal sensor set that mirrors expert human drone racing pilots.
Maulana Bisyir Azhari +4 more
wiley +1 more source
, 2016 International audienceApplications such as Simultaneous Localization and Mapping (SLAM) can greatly benefit from RGB-D sensor data to produce 3D maps of the environment as well as sensor’s trajectory estimation.
David Roussel +7 more
core +1 more source
Geo2DGS‐SLAM: Geometry‐Driven SLAM With 2D Gaussian Splatting
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Recent advances in SLAM systems based on 3D Gaussian Splatting have enabled dense and photorealistic scene reconstruction. However, 3DGS‐based methods still suffer from limited geometric awareness due to the lack of normal rendering support, view inconsistency and weak depth constraints, ultimately hindering high‐fidelity geometric ...
Weiqing Yan +4 more
wiley +1 more source
, 2018 ORB-SLAM getting stuck in wrong initialization freiburg2_large_with_loop from TUM RGB-D dataset [19].
Aznul Qalid Md. Sabri (5150318) +3 more
core +1 more source
From Pixels to Maps: Implementing RGB-D SLAM with Kinect on a Mobile Robot
Applied SciencesThe advancement of robotics has expanded applications across various sectors, increasing the need for reliable mapping and navigation in unfamiliar environments.
Fahmizal +5 more
doaj +1 more source
High Voltage, EarlyView.ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve general problems.
Yuanpeng Tan +4 more
wiley +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 +3 more
wiley +1 more source
SOF-SLAM: A Semantic Visual SLAM for Dynamic Environments
IEEE Access, 2019 Simultaneous Localization and Mapping (SLAM) plays an important role in the computer vision and robotics field. The traditional SLAM framework adopts a strong static world assumption for analysis convenience.
Linyan Cui, Chaowei Ma
doaj +1 more source
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Computer Graphics Forum, EarlyView.Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton +5 more
wiley +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 +6 more
wiley +1 more source