Aliyazicioglu, Z. (2023, June), Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems   Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42966

\bibitem{asee_peer_42966}
  Aliyazicioglu, Z. (2023, June), \emph{Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems }
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42966

Zekeriya Aliyazicioglu.  "Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems ".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://strategy.asee.org/42966 Internet.  28 Apr, 2024

\bibitem{asee_peer_42966}
  Zekeriya Aliyazicioglu.
  "Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems ".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://strategy.asee.org/42966 Internet.  28 Apr, 2024

@INPROCEEDINGS{asee_peer_42966
author = "Zekeriya Aliyazicioglu"
title = "Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems "
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/42966}
number = {10.18260/1-2--42966}
}

TY  - CPAPER
AB  - 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. 
AU  - Zekeriya Aliyazicioglu
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Board 83: Sensor Fusion Algorithms and Tracking for Autonomous Systems 
UR  - https://strategy.asee.org/42966
DO  - 10.18260/1-2--42966
ER  -