Papers
3
Total Citations
104
H-Index
3
About
Pierre Alliez is a leading researcher in computational geometry and 3D reconstruction, with a focus on advancing simultaneous localization and mapping (SLAM) and surface reconstruction technologies. His work bridges the gap between theoretical geometry and practical applications in robotics and underwater exploration. Notably, his 2014 paper on underwater 3D optical mapping (54 citations) introduced a surface reconstruction method that enables detailed seafloor representation from robot-acquired point clouds, addressing critical challenges in marine archaeology and environmental monitoring. Alliez has also made significant contributions to SLAM under challenging conditions, as demonstrated by his 2021 work on WeCo-SLAM (35 citations), which achieves real-time indoor localization during GPS-denied scenarios like indoor/outdoor transitions. His 2023 ConSLAM dataset (15 citations) provides a benchmark for evaluating SLAM algorithms on construction sites, supporting autonomous navigation and multi-robot mapping. Through these innovations, Alliez has garnered over 100 citations, establishing himself as a key figure in robust 3D mapping for dynamic, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1A surface reconstruction method for in-detail underwater 3D optical mapping54 citations · 2014
- 2
- 3ConSLAM: Construction Data Set for SLAM15 citations · 2023