Summer Undergraduate Research Program (University of West Florida, Pensacola, Florida, 08/2024)
08/2024
Metrics
3 File views/ downloads
26 Record Views
Abstract
For the purposes of this experiment we decided to use a traditional camera to obtain the data for our training set, as it was easier to obtain and classify the data when compared to Lidar data. The camera data for the neural network was classified, for object detection, into a binary response of obstacle and no obstacle. Then the accuracy and the error/loss of the output was graphed over 5 repetitions /epochs.
Files and links (1)
pdf
Solar Power Autonomous Self-Driving Vehicle2.08 MBDownloadView
PresentationPoster pdf Open Access
Related links
Details
Title
Solar Power Autonomous Self-Driving Vehicle
Resource Type
Poster
Event
Summer Undergraduate Research Program (University of West Florida, Pensacola, Florida, 08/2024)
Contributors
Tarek Youssef (Faculty Mentor)
Publisher
University of West Florida Libraries; Argo Scholar Commons
Format
pdf
Copyright
Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
Identifiers
99380576893806600
Academic Unit
Summer Undergraduate Research Program 2024; Hal Marcus College of Science and Engineering ; Dr. Muhammad Harunur Rashid Department of Electrical and Computer Engineering