Srinivasan Vijayarangan

Carnegie Mellon University

Papers

4

Total Citations

211

H-Index

4

About

Srinivasan Vijayarangan is a robotics and computer vision researcher whose work spans autonomous navigation, 3D perception, and agricultural robotics. He is perhaps best known for his contributions to Simultaneous Localization and Mapping (SLAM), particularly his development of a Stereo Visual Inertial LiDAR SLAM system that addresses a critical limitation in autonomous robotics: the failure of pure LiDAR-based systems in degenerate environments. By fusing LiDAR with stereo vision and inertial sensing, his approach achieves robust, accurate localization for both mobile and aerial platforms — a paper that has garnered over 120 citations and established him as a notable voice in the field. Beyond navigation, Vijayarangan has made meaningful contributions to precision agriculture and plant phenotyping. His 2017 work on in-field segmentation and identification of plant structures using 3D imaging, cited over 55 times, offers automated solutions for measuring observable plant characteristics — accelerating the plant breeding pipeline by connecting physical traits to underlying genetics. Complementing this, his research on high-throughput robotic phenotyping of energy sorghum crops demonstrates a practical commitment to deploying autonomous systems in real agricultural settings. Together, his body of work reflects a researcher uniquely positioned at the intersection of robotics, sensing, and applied life sciences.

Research Focus

Key Achievements

4
H-Index
4
Papers
211
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping
120 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago