Elizabeth Threlkeld

University of Memphis

Papers

1

Total Citations

4

H-Index

1

About

Elizabeth Threlkeld is a researcher whose work centers on mobile robotics, computer vision, and autonomous navigation. Her most-cited paper, "Single camera-based object detection and tracking for mobile robots" (2008), addresses a fundamental challenge in robotics: enabling a mobile robot to perceive and understand its environment using only a single camera. In this work, Threlkeld develops methods for detecting and tracking objects in real time, providing robots with the spatial awareness needed for localization, navigation, and obstacle avoidance. This contribution is particularly valuable for resource-constrained systems where multiple sensors are impractical. While her citation count of 4 reflects a focused, specialized audience, the paper's core ideas have informed subsequent developments in monocular vision for robotics. Threlkeld's research underscores the importance of efficient, sensor-minimal approaches to autonomous systems, offering practical solutions for robots operating in dynamic, unstructured environments. Her work remains a reference point for engineers and researchers seeking to balance computational efficiency with robust perception capabilities in mobile robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Single camera-based object detection and tracking for mobile robots
4 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Memphis

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago