Jonah C. McBride

Charles River Analytics (United States)

Papers

4

Total Citations

16

H-Index

2

About

Jonah C. McBride’s research lies at the intersection of mobile robotics and computer vision, with a focused emphasis on cost-effective 3D scene reconstruction and object detection. His work is driven by a practical challenge: enabling robots to navigate and perceive their surroundings without relying on expensive, specialized sensors like laser scanners or stereo camera pairs. McBride pioneered the concept of **single-camera stereo**, a technique that uses a single moving camera to achieve depth perception, making robotic vision more accessible for real-world applications such as parking lot surveillance. His most cited paper, *"Single Camera Stereo for Mobile Robot Surveillance"* (2005, 9 citations), established this foundational approach. Expanding on this, his research in *"3D scene reconstruction: why, when, and how?"* (2004, 3 citations) and *"Object detection with single camera stereo"* (2006, 2 citations) systematically addressed the "how" and "when" of applying this method to detect objects and reconstruct environments. Notably, his work on *"Ego-location and situational awareness in semistructured environments"* (2003, 2 citations) tackled the critical problem of robot localization in environments that are neither fully structured nor completely wild—a key step toward practical, field-deployable systems. While his citation counts are modest, McBride’s contributions are significant for their emphasis on low-cost, scalable solutions that democratize advanced robotic perception.

Research Focus

Key Achievements

2
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Single Camera Stereo for Mobile Robot Surveillance
9 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Charles River Analytics (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago