Wednesday, July 7, 2021
This projects aims at enabling unmanned aerial vehicles to navigate indoors without GPS by fusing sensors data from IMU and Ultra wide band wireless... More
Emergency crew and first responders face significant challenges in exploring unknown areas and handling situations in complex environments that do not have GPS signals. This project developed a wearable system that integrates multiple sensors to enable first-responders and emergency crew to dynamically build an awareness of any unknown area... More
Monday, July 5, 2021
A new LiDAR SLAM for Pedestrian (Helmet-mount) using 2D LiDAR sensor and IMU. IMU is used to perform Pedestrian Dead Reckoning to improve LiDAR SLAM on body-mounted... More
Light Detection and Ranging (LiDAR) based Simultaneous Localization and Mapping (SLAM) systems are often used to map indoor areas and localize mobile systems. LiDAR scan matching performs poorly in environments without rich geometry, such as long hallways or large rooms. To address this limitation, a mm-wave fixed antenna array radar is used as a... More
To enable autonomous car navigation in GPS-denied environments, this project developed a multi-state Kalman filter that fuses visual features and inertial sensors in a tightly-coupled integration mode. The fusion of visual and inertial modalities enjoys growing popularity due to miniaturization and affordability of the sensors which make them... More
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