Sparsity-aware 3-d tof sensing
In this work, we propose several time-of-flight (ToF) sensing schemes which tackle the
challenge of covering very-wide areas and long ranges in nearly real time, with relatively …
challenge of covering very-wide areas and long ranges in nearly real time, with relatively …
MoLi-PoseNet: Model-based indoor relocalization using deep pose regression from synthetic LiDAR scans
In indoor environments, the low availability of global navigation satellite systems (GNSSs)
makes the light detection and ranging (LiDAR) pose initialization a challenge. Approximate …
makes the light detection and ranging (LiDAR) pose initialization a challenge. Approximate …
Single-Line LiDAR Localization via Contribution Sampling and Map Update Technology
X Jiang, DK Yang, Z Tian, G Liu, M Lu - Sensors, 2024 - mdpi.com
Localization based on single-line lidar is widely used in various robotics applications, such
as warehousing, service, transit, and construction, due to its high accuracy, cost …
as warehousing, service, transit, and construction, due to its high accuracy, cost …
[HTML][HTML] AI-Aided Proximity Detection and Location-Dependent Authentication on Mobile-Based Digital Twin Networks: A Case Study of Door Materials
Nowadays, mobile–mobile interaction is becoming a fundamental methodology for human–
human networking services since mobile devices are the most common interfacing …
human networking services since mobile devices are the most common interfacing …
Semantic Map-based Visual Localization with Consistency Guarantee
In this article, a semantic map-based consistent extended Kalman filter (EKF) for drift-free
visual localization is presented. Thanks to the advanced deep learning techniques, object …
visual localization is presented. Thanks to the advanced deep learning techniques, object …
Hierarchical Visual Localization and Measurement Method for Outdoor Large-Scale Environment
A Xing, Y Wang, X Li, S Chen… - 2023 9th International …, 2023 - ieeexplore.ieee.org
The current large-scene environment recognition technology is mainly used in the field of
automatic driving, providing environmental information for self-driving cars. It has relatively …
automatic driving, providing environmental information for self-driving cars. It has relatively …
Real-time visual-inertial SLAM based on RGB-D image and point-line feature with loop closure constraint
Y Chen, Q Zong, P Wei - Fourth International Conference on …, 2024 - spiedigitallibrary.org
Conventional visual-inertial SLAM (VINS) primarily relying on point features often face
challenges in indoor environments characterized by low textures, variable lighting, and fast …
challenges in indoor environments characterized by low textures, variable lighting, and fast …