A survey of autonomous vehicles: Enabling communication technologies and challenges
The Department of Transport in the United Kingdom recorded 25,080 motor vehicle fatalities
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
in 2019. This situation stresses the need for an intelligent transport system (ITS) that …
[HTML][HTML] Inertial navigation meets deep learning: A survey of current trends and future directions
Inertial sensing is employed in a wide range of applications and platforms, from everyday
devices such as smartphones to complex systems like autonomous vehicles. In recent years …
devices such as smartphones to complex systems like autonomous vehicles. In recent years …
Tinyodom: Hardware-aware efficient neural inertial navigation
Deep inertial sequence learning has shown promising odometric resolution over model-
based approaches for trajectory estimation in GPS-denied environments. However, existing …
based approaches for trajectory estimation in GPS-denied environments. However, existing …
An enhanced adaptive unscented kalman filter for vehicle state estimation
Y Zhang, M Li, Y Zhang, Z Hu, Q Sun… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate vehicle state information is crucial for safe driving and dynamic control of vehicles.
Vehicle state estimation under unknown noise conditions is an important research topic. A …
Vehicle state estimation under unknown noise conditions is an important research topic. A …
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 …
A-KIT: Adaptive Kalman-informed transformer
The extended Kalman filter (EKF) is a widely adopted method for sensor fusion in navigation
applications. A crucial aspect of the EKF is the online determination of the process noise …
applications. A crucial aspect of the EKF is the online determination of the process noise …
Deep Learning Assisted Inertial Dead Reckoning and Fusion
The interest in mobile platforms across a variety of applications has increased significantly in
recent years. One of the reasons is the ability to achieve accurate navigation using low-cost …
recent years. One of the reasons is the ability to achieve accurate navigation using low-cost …
A review of Bayes filters with machine learning techniques and their applications
A Bayes filter is a widely used estimation algorithm, but it has inherent limitations.
Performance can degrade when the dynamics are highly nonlinear or when the probability …
Performance can degrade when the dynamics are highly nonlinear or when the probability …
A lightweight odometry network for GNSS/INS integration during GNSS outages
Z Yu, J Jiang, P Yan, Y Li, J Wu, D **e - Applied Soft Computing, 2024 - Elsevier
In challenging environments like urban canyons and tunnels, the Global Navigation Satellite
System (GNSS) signal can be interrupted. When this happens, the integrated Global …
System (GNSS) signal can be interrupted. When this happens, the integrated Global …
Practical Implementation of KalmanNet for Accurate Data Fusion in Integrated Navigation
The extended Kalman filter has been widely used in sensor fusion to achieve integrated
navigation and localization. Efficiently integrating multiple sensors requires prior knowledge …
navigation and localization. Efficiently integrating multiple sensors requires prior knowledge …