Seth Rodriguez

The University of Texas at El Paso

Papers

1

Total Citations

6

H-Index

1

About

Seth Rodriguez is an emerging researcher in autonomous vehicle systems, with a focus on computer vision and control algorithms for electric vehicles. His most cited work, "Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Using Electric Vehicles" (2022, 6 citations), addresses a critical challenge in automated driving: robust lane-following. In this study, Rodriguez led a team of four undergraduate students through a Research Experience for Undergraduates (REU) project, designing and evaluating multiple lane-keeping algorithms using computer vision on electric vehicle platforms. This hands-on approach not only advanced practical solutions for autonomous navigation but also demonstrated a commitment to mentoring the next generation of engineers. While his citation count is still growing, Rodriguez’s work stands out for its emphasis on accessible, real-world testing and undergraduate involvement. His research bridges the gap between theoretical control systems and deployable vehicle technology, offering valuable insights for students and researchers interested in the intersection of computer vision, electric vehicles, and autonomous driving. As the field accelerates, Rodriguez’s contributions to lane-keeping robustness are likely to gain increasing recognition.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Developing, Analyzing, and Evaluating Vehicular Lane Keeping Algorithms Using Electric Vehicles
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Texas at El Paso

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago