Sensor Data Fusion & it's Application SeminarThe Seminar will be held on 10/02/2018
The Seminar will span for 1.5 hours starting at 10:00 am Location: Room 934, 3rd Floor, CHEP building, Faculty of Engineering ASU Hall 27, 2nd Floor, Administration building, Faculty of Engineering AlexU |
Instructor
Eng. Abduallah A. Mohamed
Graduate Research Assistant , CAEE; University of Texas, Austin |
Seminar Description:
Sensors data fusion techniques started to play a vital role in robotics application, like autonomous vehicles and drones, in this seminar we will address the concept intuitively without going too deep inside the mathematical concepts except necessary ones, a quick overview of Kalman's filter and how it works relating it to real applications like IMU "Inertial measurements unit" and SLAM "Simultaneous localization and mapping", then we will demonstrate different Kalman's filter variation, it's use cases and limitations.
Seminar Topics:
About the Instructor:
Abduallah is a PhD student in the CAEE department of the University of Texas, Austin. He is an experienced automotive R&D engineer. His research interests include deep learning, sensors data fusion, computer vision, and control. His research involves human in the loop control of partially autonomous system, with a current focus on traffic safety. Abduallah worked in multiple international companies like Avelabs & Valeo and holds a patent in deep learning.
Sensors data fusion techniques started to play a vital role in robotics application, like autonomous vehicles and drones, in this seminar we will address the concept intuitively without going too deep inside the mathematical concepts except necessary ones, a quick overview of Kalman's filter and how it works relating it to real applications like IMU "Inertial measurements unit" and SLAM "Simultaneous localization and mapping", then we will demonstrate different Kalman's filter variation, it's use cases and limitations.
Seminar Topics:
- Introduction
- IMU intorduction as an application
- SLAM intorduction as an application
- Review of important math concepts
- Quick intorduction to Kalman's filter
- State space representation and Kalman's filter
- Kalman's filter variations
- Review IMU and SLAM concepts ~
- Alternatives to Kalman's filter & Deep learning relationship
About the Instructor:
Abduallah is a PhD student in the CAEE department of the University of Texas, Austin. He is an experienced automotive R&D engineer. His research interests include deep learning, sensors data fusion, computer vision, and control. His research involves human in the loop control of partially autonomous system, with a current focus on traffic safety. Abduallah worked in multiple international companies like Avelabs & Valeo and holds a patent in deep learning.
