Deep learning for inertial positioning: A survey
C Chen, X Pan - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …
Recent advances in pedestrian inertial navigation based on smartphone: A review
Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …
A survey on deep learning for localization and map**: Towards the age of spatial machine intelligence
Heart rate sensing with a robot mounted mmwave radar
Heart rate monitoring at home is a useful metric for assessing health eg of the elderly or
patients in post-operative recovery. Although non-contact heart rate monitoring has been …
patients in post-operative recovery. Although non-contact heart rate monitoring has been …
On indoor localization using WiFi, BLE, UWB, and IMU technologies
Indoor localization is a key research area and has been stated as a major goal for Sixth
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …
Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer
X Wang, Y Zhuang, Z Zhang, X Cao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
As a critical topic of Internet of Things applications, smartphone-based indoor navigation has
a rapidly growing need in various applications. However, indoor navigation technology is …
a rapidly growing need in various applications. However, indoor navigation technology is …
Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …
major functions in This review paper presents a comprehensive overview of end-to-end …
A review of small UAV navigation system based on multi-source sensor fusion
X Ye, F Song, Z Zhang, Q Zeng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In recent years, unmanned aircraft systems (UASs) have played an increasingly significant
role in the military and civil fields. The flight control system, as the “hub” of an unmanned …
role in the military and civil fields. The flight control system, as the “hub” of an unmanned …
Inertial sensors—Applications and challenges in a nutshell
This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …
A deep learning approach for foot trajectory estimation in gait analysis using inertial sensors
Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …