NICP: Dense normal based point cloud registration

By Jacopo Serafin, Giorgio Grisetti. IEEE/RJS International Conference on Intelligent RObots and Systems, 2015

329 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Geology

View Paper: https://www.semanticscholar.org/paper/c1a15be51f3f63a4e6761ed5bc63cc4140eda26f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Cyrill Stachniss
2. Jens Behley
3. Ignacio Vizzo
4. Kenji Koide
5. Tiziano Guadagnino
6. Atsuhiko Banno
7. Louis Wiesmann
8. Shuji Oishi

In Computational Mechanics

1. Kenji Koide
2. Ignacio Vizzo
3. Cyrill Stachniss
4. Atsuhiko Banno
5. Shuji Oishi
6. Masashi Yokozuka
7. Jens Behley

In Geology

1. Cyrill Stachniss
2. Jens Behley
3. Kenji Koide
4. Ignacio Vizzo
5. Atsuhiko Banno
6. Shuji Oishi
7. Masashi Yokozuka

Citations in the corpus

• Voxelized GICP for Fast and Accurate 3D Point Cloud Registration (2020, methodology): “There are many variants of the classic ICP algorithm, such as Trimmed ICP [5] and Normal ICP [6].”
• KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way (2022, methodology): “Most ICP variants [1], [10], [11], [21], [26], [35] utilize a maximum distance threshold in the data association module plus a robust kernel [6] and a maximum number of iterations.”