Metamaterial-based sensor integrating microwave dielectric and near-infrared spectroscopy techniques for substance evaluation
EL Chuma, T Rasmussen - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
A novel era of “smart” sensors is emerging, in which they are being used in combination with
artificial intelligence (AI) to achieve a better understanding of the world. Such sensors need …
artificial intelligence (AI) to achieve a better understanding of the world. Such sensors need …
Monitoring of perception systems: Deterministic, probabilistic, and learning-based fault detection and identification
This paper investigates runtime monitoring of perception systems. Perception is a critical
component of high-integrity applications of robotics and autonomous systems, such as self …
component of high-integrity applications of robotics and autonomous systems, such as self …
[HTML][HTML] Two-level integrity-monitoring method for multi-source information fusion navigation
R Chen, L Zhao - Remote Sensing, 2023 - mdpi.com
To address the issue of integrity monitoring for a multi-source information fusion navigation
system, a theoretical framework of two-level integrity monitoring is proposed. Firstly, at the …
system, a theoretical framework of two-level integrity monitoring is proposed. Firstly, at the …
LiDAR-based NDT matching performance evaluation for positioning in adverse weather conditions
Light detection and ranging (LiDAR) can provide continuous and stable pose estimation with
the model of normal distribution transform (NDT), which is widely used in autonomous …
the model of normal distribution transform (NDT), which is widely used in autonomous …
Toward Certifying Maps for Safe Registration-Based Localization Under Adverse Conditions
In this letter, we propose a way to model the resilience of the Iterative Closest Point (ICP)
algorithm in the presence of corrupted measurements. In the context of autonomous …
algorithm in the presence of corrupted measurements. In the context of autonomous …
Performance Analysis of Opportunistic ARAIM for Navigation with GNSS Signals Fused with Terrestrial Signals of Opportunity
Integrity monitoring of a vehicular navigation system that utilizes multi-constellation global
navigation satellite systems (GNSS) signals fused with terrestrial signals of opportunity …
navigation satellite systems (GNSS) signals fused with terrestrial signals of opportunity …
Robust Kalman filter enhanced by projection statistic detector for multisensor navigation in urban canyon environment
Multisensor navigation via redundancy and complementary has been widely applied to
safety-critical services, such as self-driving vehicles. To improve the robustness and …
safety-critical services, such as self-driving vehicles. To improve the robustness and …
Factor Graph with Local Constraints: A Magnetic Field/Pedestrian Dead Reckoning Integrated Navigation Method Based on a Constrained Factor Graph
Z Li, J Shang, H Shi - Electronics, 2023 - mdpi.com
The method of multi-sensor integrated navigation improves navigation accuracy by fusing
various sensor data. However, when a sensor is disturbed or malfunctions, incorrect …
various sensor data. However, when a sensor is disturbed or malfunctions, incorrect …
Multi Sensor Fusion Navigation Integrity Monitoring for Terrain Awareness Prediction Warning Algorithm
R Chen, L Zhao - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The airborne sensor data provide the navigation information required for warning
computation to the terrain awareness warning algorithm through navigation fusion …
computation to the terrain awareness warning algorithm through navigation fusion …
[HTML][HTML] A Comprehensive Survey on the Integrity of Localization Systems
E Maharmeh, Z Alsayed… - Sensors (Basel …, 2025 - pmc.ncbi.nlm.nih.gov
This survey extends and refines the existing definitions of integrity and protection level in
localization systems (localization as a broad term, ie, not limited to GNSS-based …
localization systems (localization as a broad term, ie, not limited to GNSS-based …