Semantic terrain segmentation in the navigation vision of planetary rovers—A systematic literature review

B Kuang, C Gu, ZA Rana, Y Zhao, S Sun, SG Nnabuife - Sensors, 2022 - mdpi.com
Background: The planetary rover is an essential platform for planetary exploration. Visual
semantic segmentation is significant in the localization, perception, and path planning of the …

An enhanced indoor positioning solution using dynamic radio fingerprinting spatial context recognition

X Gong, J Liu, S Yang, F Gu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Radio fingerprinting positioning is widely used for smartphone location-based services and
Internet of Things applications given its high availability and low cost. Radio fingerprinting …

Environment perception based seamless indoor and outdoor positioning system of smartphone

Q Liu, C Gao, R Shang, Z Peng, R Zhang… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
With the rise of location services applications, the need for navigation and positioning
extends from isolated environments to a seamless, full domain. Aiming at the problem of low …

GNSS-based Environment Retrieval: A Deep Learning Approach for Fine-grained Environment Perception

Z Zhang, P Xu, G Zhang, LT Hsu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
GNSS positioning accuracy for vehicles confronts different challenges from a variety of
environments in urban navigation. To provide a suitable positioning solution for each …

Deep Learning Based Vehicle-Mounted Environmental Context Awareness via GNSS Signal

F Zhu, K Luo, X Tao, X Zhang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
High-precision GNSS positioning plays a crucial role in intelligent transportation systems,
and leveraging artificial intelligence can enable the development of reliable context-aware …

GNSS Pseudorange Stochastic Model for Urban Classification Scenes and Its Positioning Performance

L LI, F ZHU, W LIU, X ZHANG - Geomatics and Information Science …, 2023 - ch.whu.edu.cn
Objective: There will be many problems such as interruption, attenuation, serious multipath
error, and NLOS signals when positioning in harsh urban contexts. It's difficult to ensure the …

[HTML][HTML] A Deep-Learning Based GNSS Scene Recognition Method for Detailed Urban Static Positioning Task via Low-Cost Receivers

Y Li, Z Jiang, C Qian, W Huang, Z Yang - Remote Sensing, 2024 - mdpi.com
Global Navigation Satellite Systems (GNSS)-based position service is widely applied in
cities, but the precision varies significantly in different obstruction scenes. Scene recognition …

Constructing Context-Aware GNSS Stochastic Model for Code-Based Resilient Positioning in Urban Environment

F Zhu, W Chen, J Hu, W Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The global navigation satellite system (GNSS) positioning performance is widely recognized
to degrade in challenging environments due to complex observation uncertainty and …

3D mapping for a large crane using rotating 2D-LiDAR and IMU attached to the crane boom

MU Hassan, D Das, J Miura - IEEE Access, 2023 - ieeexplore.ieee.org
This paper describes a novel method for large-scale 3D mapping for construction cranes
with an arbitrary motion of the sensor system (2D lidar and IMU) attached to the crane boom …

Combining Context Connectivity and Behavior Association to Develop an Indoor/Outdoor Context Detection Model With Smartphone Multisensor Fusion

F Zhu, W Chen, F Guo, X Zhang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The emergence of seamless mobile navigation systems integrating various Internet of
Things (IoT) devices has sparked interest in context awareness enhancement technology. In …