A5083177231- Particle physics theoretical and experimental studies
- Superconducting Materials and Applications
- Particle Accelerators and Free-Electron Lasers
- Adaptive optics and wavefront sensing
- Astronomical Observations and Instrumentation
- Non-Invasive Vital Sign Monitoring
- Context-Aware Activity Recognition Systems
- Sensorless Control of Electric Motors
- Inertial Sensor and Navigation
- Target Tracking and Data Fusion in Sensor Networks
- Particle Detector Development and Performance
- Indoor and Outdoor Localization Technologies
- Historical Geography and Cartography
- Laser and Thermal Forming Techniques
- Electric Power Systems and Control
- Robotics and Sensor-Based Localization
- Electric Motor Design and Analysis
- Disaster Response and Management
- Respiratory Support and Mechanisms
- IoT-based Smart Home Systems
- High-Energy Particle Collisions Research
- Cardiac Arrest and Resuscitation
Riga Technical University
2019-2023
The most important features of autonomous Search And Rescue robots are abilities to autonomously detect victims and assess their basic vital parameters, such as respiration heartbeat status, by using on-board sensors classify survivors according need medical care. This paper presents a novel sensor composition for victim detection non-contact monitoring with SAR having limited computational power, combination commercial low-cost components - visual Ultra-Wide Band radar. In the proposed...
A high-quality, low-cost ventilator, dubbed HEV, has been developed by the particle physics community working together with biomedical engineers and physicians around world. The HEV design is suitable for use both in out of hospital intensive care units, provides a variety modes capable supporting spontaneous breathing supplying oxygen-enriched air. An external air supply can be combined unit situations where compressed not readily available. supports remote training post market surveillance...
This paper presents a detailed analysis of automotive radar performance in real mine environment. An implementation lightweight Heatmap data pre-processing algorithm is proposed to improve received point cloud density and detection reliability. In conclusion, single-radar-based localization was successfully performed using lidar pre-generated maps as demonstration autonomous mining application.