Dan McCarthy
Papers
1
Total Citations
9
H-Index
1
About
Dan McCarthy is a researcher whose work sits at the intersection of robotics, geospatial data, and autonomous navigation. His primary research areas include simultaneous localization and mapping (SLAM), direct georeferencing, and the development of 3D point cloud maps—critical technologies for enabling self-driving vehicles and advanced mobile mapping systems. McCarthy’s most notable contribution is his 2021 paper, "Direct Georeferencing 3D Points Cloud Map Based on SLAM and Robot Operating System," which has already garnered 9 citations. This work addresses the growing demand for high-fidelity 3D environmental data by integrating SLAM algorithms with the Robot Operating System (ROS) to produce accurately georeferenced point clouds. By tackling the challenge of creating precise, real-time maps from moving platforms, McCarthy’s research directly supports applications in road condition monitoring, autonomous navigation, and urban infrastructure assessment. His contributions are particularly relevant as the fields of mobile mapping and autonomous systems continue to expand, making his work a valuable resource for engineers and researchers developing next-generation spatial intelligence solutions.
Research Focus
Key Achievements
Top Papers
- 1