Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts
To detect unmanned aerial vehicles (UAVs) in real-time, computer vision and deep learning
approaches are developing areas of research. Interest in this problem has grown due to …
approaches are developing areas of research. Interest in this problem has grown due to …
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems
Autonomous vehicles greatly rely on their perception system for navigation. Semantic
segmentation provides a much better understanding of a vehicle's surroundings than object …
segmentation provides a much better understanding of a vehicle's surroundings than object …
Machine Learning Techniques for Data Reduction of Climate Applications
Scientists conduct large-scale simulations to compute derived quantities-of-interest (QoI)
from primary data. Often, QoI are linked to specific features, regions, or time intervals, such …
from primary data. Often, QoI are linked to specific features, regions, or time intervals, such …
Improving Inference Speed of Perception Systems in Autonomous Unmanned Ground Vehicles
B Selee - 2023 - tigerprints.clemson.edu
Autonomous vehicle (AV) development has become one of the largest research challenges
in businesses and research institutions. While much research has been done, autonomous …
in businesses and research institutions. While much research has been done, autonomous …
Improving Intelligent Transportation Safety and Reliability Through Lowering Costs, Integrating Machine Learning, and Studying Model Sensitivity
C Holt - 2022 - tigerprints.clemson.edu
As intelligent transportation becomes increasingly prevalent in the domain of transportation,
it is essential to understand the safety, reliability, and performance of these systems. We …
it is essential to understand the safety, reliability, and performance of these systems. We …