Brad Montgomery

University of Memphis

Papers

1

Total Citations

4

H-Index

1

About

Brad Montgomery is a researcher in mobile robotics, with a primary focus on vision-based perception and autonomous navigation. His work centers on enabling robots to understand and interact with their environments using single-camera systems, a cost-effective and practical approach for real-world deployment. His most cited paper, "Single camera-based object detection and tracking for mobile robots" (2008, 4 citations), addresses a fundamental challenge: how a robot can detect and track objects in its vicinity using only one visual sensor. This capability is critical for localization, navigation, and obstacle avoidance—core tasks for any autonomous mobile platform. While his citation count is modest, Montgomery's contribution lies in advancing practical, sensor-efficient solutions for robotic perception, laying groundwork for systems that can operate without expensive or bulky multi-sensor arrays. His work is particularly relevant for students and researchers interested in low-cost, vision-driven robotics, demonstrating that meaningful autonomy can be achieved with minimal hardware.

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