2023 ASEE Annual Conference & Exposition

Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems

Presented at Electrical and Computer Engineering Division (ECE) Poster Session

This paper discusses the results and experiences of an undergraduate senior project sponsored by an industry. The project focused on applying sensor fusion and localization algorithms to generate highly reliable and accurate sensor feedback for an autonomous ground vehicle. The main objectives of the project were to collect measurements and observations from a variety of sensors, extract the necessary information, and then combine or fuse the information in order to gain an enhanced understanding of the perceived or observed object or incident. Students utilized related algorithms and tools to design, simulate, test, and analyze systems that fused data from multiple sensors in order to maintain the vehicle's position, orientation, and situational awareness.

Authors

Dr. Zekeriya Aliyazicioglu Cal Poly Pomona [biography]

Dr. Zekeriya Aliyazicioglu received his M.S. degree in 1991 and Ph.D. degree in 1995, both in Electrical Engineering from Southern Methodist University (Dallas, Texas). He is currently a Professor of the Department of Electrical and Computer Engineering a . He is currently a Professor of the Department of Electrical and Computer Engineering at Cal Poly Pomona. His research interests include Digital Signal Processing and Digital Image Processing applications, Communication Systems, and Robotics. He is an author of numerous research papers and presentations in these areas. He has worked on undergraduate education research projects sponsored by Northrop Grumman, Boeing, and Lockheed Martin. Dr. Aliyazicioglu is a member of the IEEE, Eta Kappa Nu, Tau Beta Pi, and ASEE. Aliyazicioglu is faculty advisor for the student chapter of the IEEE.

Download paper (1.2 MB)

Are you a researcher? Would you like to cite this paper? Visit the ASEE document repository at peer.asee.org for more tools and easy citations.

» Download paper

« View session