Andrew H. Palmer

University of Nevada, Reno

Papers

1

Total Citations

4

H-Index

1

About

Andrew H. Palmer is a researcher whose work centers on the practical integration of sensing technologies, with a particular focus on camera and LiDAR calibration for autonomous systems. His most notable contribution, the paper "Simple Camera-to-2D-LiDAR Calibration Method for General Use" (2020), has garnered 4 citations, establishing a foundational approach that simplifies the often complex process of aligning visual and depth data. This method is designed for broad accessibility, enabling researchers and engineers to achieve accurate sensor fusion without specialized equipment, thereby lowering the barrier to entry in fields like robotics, autonomous vehicles, and 3D mapping. Palmer’s work is characterized by its emphasis on generalizability and ease of implementation, making it a valuable resource for both academic and industrial applications. By addressing a critical bottleneck in multi-sensor systems, his research contributes to the advancement of perception technologies, supporting more robust and reliable autonomous navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Simple Camera-to-2D-LiDAR Calibration Method for General Use
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Nevada, Reno

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago