Barış Süleymanoğlu

Barış Süleymanoğlu works on processing and analyzing 3D data collected from sensors like LiDAR (a laser-based scanning technology) and cameras mounted on drones, vehicles, or handheld devices, to create maps and models of roads, cities, and indoor spaces. This includes developing filtering and machine-learning methods to clean up point-cloud data (dense sets of 3D coordinates) and extract useful features such as road geometry or urban structures. The work is applied to areas like transportation infrastructure mapping, large-scale cartography, and indoor navigation.

Publication output has grown steadily over the last decade, rising from zero or one paper per year around 2017-2019 to a peak of three to four papers annually in 2022-2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026