NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT

13 April 2024

Xinzhe Zheng

Papers citing "NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT"

2 / 2 papers shown

Title
FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter W. Xu Fu Zhang 66 597 0 16 Oct 2020
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 201 14,304 0 07 Oct 2016