Dominik Van Opdenbosch

Papers

Total Citations

100

H-Index

About

Dominik Van Opdenbosch is a leading researcher in autonomous robotics, whose work focuses on solving the fundamental challenge of collaborative visual simultaneous localization and mapping (SLAM). His major contributions center on enabling multiple robots—often with different capabilities, such as aerial and ground vehicles—to jointly explore and map unknown environments. Van Opdenbosch pioneered efficient methods for compressing and exchanging visual map data, allowing robots to share critical spatial information without overwhelming communication bandwidth. His highly cited 2018 paper, "Collaborative Visual SLAM Using Compressed Feature Exchange" (41 citations), established a framework for multi-agent mapping, while his follow-up work on "Efficient Map Compression for Collaborative Visual SLAM" (30 citations) and "Selection and Compression of Local Binary Features for Remote Visual SLAM" (26 citations) further refined these techniques. He also addressed the practical challenge of merging maps from different sources in "Robust Map Alignment for Cooperative Visual SLAM." Van Opdenbosch’s research is pivotal for advancing swarm robotics, enabling scalable, real-time exploration of large-scale environments—a critical step toward fully autonomous collaborative systems.