Papers

14

Total Citations

632

H-Index

9

About

John McDonald is a prominent researcher whose work spans robotics perception, autonomous systems, and computer vision. He is perhaps best known for his foundational contributions to dense RGB-D mapping, particularly through his extensions to the Kintinuous algorithm, which enabled robust real-time visual odometry and spatially extended 3D mapping using consumer-grade depth cameras. This work has garnered over 320 citations, establishing him as a key figure in simultaneous localization and mapping (SLAM) research. McDonald has also made significant strides in humanoid robot locomotion, developing perception and planning algorithms that allow robots to navigate uneven terrain using passive stereo imagery. His survey on vision-based driver assistance systems reflects a broader interest in intelligent transportation and autonomous driving, areas he continues to advance through more recent contributions on Bird's Eye View segmentation using transformer architectures and fisheye camera keypoint detection. His research on point cloud simplification further demonstrates a commitment to making dense spatial representations computationally tractable. Most recently, McDonald has expanded into socially intelligent robotics through the CASIE project, exploring ethical, emotion-aware robot behaviors in healthcare settings — illustrating the impressive breadth and societal relevance of his research portfolio.

Research Focus

Key Achievements

9
H-Index
14
Papers
632
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Robust real-time visual odometry for dense RGB-D mapping
321 citations · 2013
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: National University of Ireland, Maynooth, Valeo (France)

Top Papers

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    Robust Tracking for Real-Time Dense RGB-D Mapping with Kintinuous : Computer Science and Artificial Intelligence LaboratoryTechnical Report MIT-CSAIL-TR-2012-031
    9 citations · 2012
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago