Results 31 to 40 of about 200,418 (165)
Deep Learning-Aided Inertial/Visual/LiDAR Integration for GNSS-Challenging Environments
Sensors, 2023 This research develops an integrated navigation system, which fuses the measurements of the inertial measurement unit (IMU), LiDAR, and monocular camera using an extended Kalman filter (EKF) to provide accurate positioning during prolonged GNSS signal ...
Nader Abdelaziz, Ahmed El-Rabbany
doaj +1 more source
IMU and LIDAR SLAM for indoor mapping
, 2020 These files are to support the published conference papers about the integration of IMU and LIDAR SLAM for indoor mapping. They include point cloud conversion, segmentation and SLAM codes.
Karam, SAMER (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente) +1 more
core +1 more source
CamVox: A Low-cost and Accurate Lidar-assited Visual SLAM System
, 2021 Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at outdoor large scale scenes. Recent development of low-cost lidars (e.g.
Yuewen Zhu; Chunran Zheng; Chongjian Yuan; Xu Huang; Xiaoping Hong
core +1 more source
Evaluation of Lidar-based 3D SLAM algorithms in SubT environment
, 2022 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.
Anton Koval +5 more
core +1 more source
A Review of Simultaneous Localization and Mapping Algorithms Based on Lidar
World Electric Vehicle JournalSimultaneous localization and mapping (SLAM) is one of the key technologies for mobile robots to achieve autonomous driving, and the lidar SLAM algorithm is the mainstream research scheme.
Yong Li +6 more
doaj +1 more source
Comparison of LiDAR-based SLAM methods in a virtual environment
, 2023 openLa SLAM (Simultaneous Localization And Mapping) è un processo computazionale che consente di mappare e simultaneamente di localizzare un generico dispositivo in movimento, come ad esempio un UAV (Unmanned Aerial Vehicles), in un ambiente ignoto.
GIROLIMETTO, LUCA
core
AGPC-SLAM: Absolute Ground Plane Constrained 3D Lidar SLAM
Navigation, 2022 3D lidar-based simultaneous localization and mapping (SLAM) is a well-recognized solution for mapping and localization applications. However, the typical 3D lidar sensor (e.g., Velodyne HDL-32E) only provides a very limited field of view vertically. As a
Weisong Wen, Li-Ta Hsu
doaj +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
Advanced Intelligent Systems, EarlyView.This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System
, 2021 — Combining lidar in camera-based simultaneous localization and mapping (SLAM) is an effective method in improving overall accuracy, especially at outdoor large scale scenes. Recent development of low-cost lidars (e.g.
Yuewen Zhu; Chunran Zheng; Chongjian Yuan; Xu Huang; Xiaoping Hong
core +1 more source