Year: 2025
Type: conference-paper
Abstract: SLAM is one of the core technologies in the field of robotics.At present, Laser SLAM has become the mainstream mapping solution for general mobile robots.Cartographer algorithm is one of the mainstream Laser SLAM algorithms, which has attracted much attention because of its high accuracy and suitable for large scenes.However, the effect of sensor data fusion using Unscented Kalman Filter (UKF) is not ideal.Therefore, an improved Cartographer algorithm is proposed in this paper, which uses Adaptive Unscented Kalman Filter (AUKF) to fuse information of sensors, aiming to improve the accuracy of localization and mapping.
Authors: Lei Jiang, Miao Zhang
Institution: Tianjin University of Science and Technology
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409913732