A5016596086- Indoor and Outdoor Localization Technologies
- Millimeter-Wave Propagation and Modeling
- Radio Wave Propagation Studies
- Power Line Communications and Noise
- Inertial Sensor and Navigation
- Artificial Intelligence in Healthcare
- Augmented Reality Applications
- RFID technology advancements
- GNSS positioning and interference
- Brain Tumor Detection and Classification
- Medical Imaging and Analysis
- Human Mobility and Location-Based Analysis
- Multilevel Inverters and Converters
- Electric Motor Design and Analysis
- Electrical and Bioimpedance Tomography
- Underwater Vehicles and Communication Systems
- Body Composition Measurement Techniques
- Robotics and Automated Systems
- Advanced Sensor and Energy Harvesting Materials
- Autonomous Vehicle Technology and Safety
- Robotics and Sensor-Based Localization
- Automated Road and Building Extraction
- Advanced Computational Techniques and Applications
- Sensorless Control of Electric Motors
- Robotic Path Planning Algorithms
Queen's University
2022-2025
Royal Military College of Canada
2022-2023
Qatar University
2021
The NavINST Laboratory has developed a comprehensive multisensory dataset from various road-test trajectories in urban environments, featuring diverse lighting conditions, including indoor garage scenarios with dense 3D maps. This includes multiple commercial-grade IMUs and high-end tactical-grade IMU. Additionally, it contains wide array of perception-based sensors, such as solid-state LiDAR - making one the first datasets to do so mechanical LiDAR, four electronically scanning RADARs,...
Body hydration is considered one of the most important physiological parameters to measure and challenging. Current methods assess are invasive require costly clinical settings. The bio-impedance analysis offers a noninvasive inexpensive tool hydration, it can be designed used in wearable health devices. use electronics healthcare applications has received increased attention over last decade. New, emerging medical devices feature continuous patient monitoring data collection provide...
5G NR mm Wave promises accurate positioning down to the centimeter level. However, mmWave signals endure prismatic propagation, making them prone signal blockages and non-line of sight (NLoS) communications. To achieve a precise solution, it is rather essential filter out NLoS gNBs as they yield erroneous pose estimation IoT vehicular applications. Previous works have attempted address this issue, however, are either based on impractical or invalid assumptions about operation scenario. In...
5G mmWave technology can turn multipath into a friend, as components become highly resolvable in the time and angle domains. Multipath signals have not only been used literature to position user equipment (UE), but also create map of surrounding environment. Yet, many multipath-based methods share common assumption, which entails that are caused by single-bounce reflections only, is usually case. There very few accurately filters out higher-order reflections, renders exploitation...
Fifth-generation (5G) networks are expected to provide high-precision positioning estimation utilizing mmWave signals in urban and downtown areas. In such areas, 5G base stations (BSs) will be densely deployed, allowing for line-of-sight (LOS) communications between the user equipment (UE) multiple BSs at same time. Having access a plethora of measurement sources grants need optimal integration have an accurate precise solution. Traditionally, multi-BS fusion is conducted via extended Kalman...
5G-based mmWave wireless positioning has emerged as a promising solution for autonomous vehicle (AV) in recent years. Previous studies have highlighted the benefits of fusing line-of-sight (LoS) 5G with an Inertial Navigation System (INS) improved solution. However, highly dynamic environment urban areas, where AVs are expected to operate, poses challenge, non-line-of-sight (NLoS) communication can deteriorate and lead erroneous corrections INS. To address this we exploit multipath LoS...
Achieving the highest levels of autonomy within autonomous vehicles (AV s) requires a precise and dependable positioning solution that is not influenced by environment. 5G mm Wave signals have been extensively studied in literature to provide such solution. Yet, it evident alone will be able uninterrupted services, as outages are inevitable occur. Towards end, few works explored benefits integrating with onboard motion sensors (OBMS) like inertial measurement units (IMUs) odometers. Inspired...
5G small cells have the potential to enable sub-meter positioning accuracy in urban canyons and downtown areas, where global navigation satellite system (GNSS) precise point (PPP) suffers most. As is expected a dense deployment of base stations (BSs), it became imperative utilize extra information available by means sensor fusion. Traditionally, an extended Kalman filter (EKF) used for such purpose. Yet, one its main drawbacks that requires linear relationship between states measurements...
Autonomous vehicles (AVs) are poised to revolutionize the transportation industry by enhancing traffic efficiency and road safety. However, achieving optimal vehicular autonomy demands an uninterrupted precise positioning solution, especially in deep urban environments. 5G mmWave holds immense potential provide such a service due its accurate range angle measurements. Yet, as signals prone signal blockage, severe errors will occur. Most of literature relies on constant motion models bridge...
5th generation (5G) millimeter wave (mmWave) positioning systems are of growing interest for application in operating environments where global navigation satellite system (GNSS) signals unavailable or unreliable, promising enhancements to accuracy. Application range from warehouses and indoor areas dense urban spaces. However, real dynamic conditions, brief signal outages expected due both environmental features moving objects such as cars pedestrians. During 5G outages, a must rely on...
Constrained environments, such as indoor and urban settings, present a significant challenge for accurate moving object positioning due to the diminished line-of-sight (LoS) communication with wireless anchor used positioning. The 5th generation new radio (5G NR) millimeter wave (mmWave) spectrum promises high multipath resolvability in time angle domains, enabling utilization of signals problems rather than mitigating their effects. This paper investigates benefits integrating into 5G...
Achieving the highest levels of autonomy within autonomous vehicles (AVs) requires a precise and dependable positioning solution that is not influenced by environment. 5G mmWave signals have been extensively studied in literature to provide such solution. Yet, it evident alone will be able uninterrupted services, as outages are inevitable occur. Towards end, few works explored benefits integrating with onboard motion sensors (OBMS) like inertial measurement units (IMUs) odometers. Inspired...
Constrained environments, such as indoor and urban settings, present a significant challenge for accurate moving object positioning due to the diminished line-of-sight (LoS)communication with wireless anchor used positioning. The 5th generation new radio (5G NR) millimeter wave (mmWave) spectrum promises high multipath resolvability in time angle domain, enabling utilization of signals problems rather than mitigating their effects. This paper investigates benefits integrating into 5G...
5G mmWave technology can turn multipath into a friend, as components become highly resolvable in the time and angle domains. Multipath signals have not only been used literature to position user equipment (UE) but also create map of surrounding environment. Yet, many multipath-based methods share common assumption, which entails that are caused by single-bounce reflections only, is usually case. There very few accurately filters out higher-order reflections, renders exploitation challenging....