2 citations · 3 across the 5 of their papers we have counts for
5 papers
Detecting spills using thermal imaging, pretrained deep learning models, and a robotic platform
Gregory Yeghiyan, Jurius Azar, Devson Butani +1
This paper presents a real-time spill detection system that utilizes pretrained deep learning models with RGB and thermal imaging to classify spill vs. no-spill scenarios across va…
Learning from Demonstration with Hierarchical Policy Abstractions Toward High-Performance and Courteous Autonomous Racing
Chanyoung Chung, Hyunki Seong, David Hyunchul Shim
Fully autonomous racing demands not only high-speed driving but also fair and courteous maneuvers. In this paper, we propose an autonomous racing framework that learns complex raci…
Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated Vehicles
Beñat Froemming-Aldanondo, Tatiana Rastoskueva, Michael Evans +9
Reliable lane-following is essential for automated and assisted driving, yet existing solutions often rely on models that require extensive computational resources, limiting their…
A Roadside Unit for Infrastructure Assisted Intersection Control of Autonomous Vehicles
Michael Evans, Marcial Machado, Rickey Johnson +9
Recent advances in autonomous vehicle technologies and cellular network speeds motivate developments in vehicle-to-everything (V2X) communications. Enhanced road safety features an…
Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Under Dynamic Lighting and Weather Conditions Using Electric Vehicles
Michael Khalfin, Jack Volgren, Matthew Jones +3
Self-driving vehicles have the potential to reduce accidents and fatalities on the road. Many production vehicles already come equipped with basic self-driving capabilities, but ha…