Robotic arm target localization strategy based on adaptive noise factor extended Kalman filter for depth camera and 2D LiDAR data fusion
Transactions of the Institute of Measurement and Control
Published online on May 11, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
Traditional robotic arm target localization mainly relies on depth cameras, but its localization accuracy is easily disturbed under dynamic or complex lighting environments. To solve this problem, this paper proposes an adaptive noise factor extended ...
Traditional robotic arm target localization mainly relies on depth cameras, but its localization accuracy is easily disturbed under dynamic or complex lighting environments. To solve this problem, this paper proposes an adaptive noise factor extended ...