Detail of the student project

Topic:Detekce tenkých objektů v Lidarových datech pro zabránění kolizím
Department:Katedra kybernetiky
Supervisor:Francois Pomerleau
Announce as:Diplomová práce, Semestrální projekt
Description:The goal of the thesis is to investigate and develop methods and
algorithms for 3D representation of thin and small structures such as
metal posts, wires and others, captured by Light Detection and Ranging
(LiDAR) sensors. The current solutions for downsampling of large, dense
point clouds make thin structures heavily degraded, and the information
about parts of the environment is lost. This creates a challenge for
robot navigation and collision avoidance near such objects. The chosen
objectives are based on the needs of a research project on power
station inspection that NORLAB is starting this winter.
Responsible person: Petr Pošík