The Digital Mapping Laboratory (MAPSLab) is situated in the Computer Science Department at Carnegie Mellon University. Since 1978 our research interests have been at the intersection of image understanding, artificial intelligence, and cartography.

Our research projects have focused on the use of knowledge-intensive techniques for the detailed analysis of remotely sensed imagery. Our research has had a fairly broad scope, ranging from new theories applied to low-level vision (e.g., stereo matching and scene registration), to systems for cartographic feature analysis (e.g., buildings, roads, airports), to addressing general issues in information fusion using multiple cooperative methods as well as across multiple sensors.

Most of these projects have led to the construction and analysis of large scale computer vision systems that utilize both traditional and rule-based control structures. Several of these systems have relied on the use of task-level parallelism as implemented on shared memory and distributed memory architectures.

More recently we have been involved in the analysis and interpretation of multispectral imagery, the integration of rigorous photogrammetric knowledge across all levels of scene analysis, and the development of large-scale databases for advanced distributed simulation.

This Web page is designed to give you an overview of past and ongoing research projects and to serve as an index into internal technical reports, conference papers and journal articles written by members of the MAPSLab. Happy reading.