B-spline Surfaces for Range-Based Environment Mapping

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Rodrigues, RT (Author) Other; Tsiogkas, N (Author) Other; Aguiar, AP (Author) FEUP; Pascoal, A (Author) Other

Conference proceedings International

Title: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00T-GV7

DOI: 10.1109/iros45743.2020.9341768

Abstract (EN): In this paper, we propose a mapping technique that builds a continuous representation of the environment from range data. The strategy presented here encodes the probability of points in space to be occupied using 2.5D B-spline surfaces. For a fast update rate, the surface is recursively updated as new measurements arrive. The proposed B-spline map is less susceptible to precision and interpolation errors that are present in occupancy grid-based methods. From simulation and experimental results, we show that this approach leverages the floating point resolution of continuous metric maps and the fast update/access/merging advantages of discrete metric maps. Thus, the proposed method is suitable for online robotic tasks such as localization and path planning, requiring minor modification to existing software that usually operates on metric maps.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6