Year: 2024
Type: conference-paper
Abstract: 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.
DOI: 10.18260/1-2--42966
Author: Zekeriya Aliyazicioglu
Institution: California State Polytechnic University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4391600720