56 citations · 83 across the 5 of their papers we have counts for
7 papers · 1 filter
Road Mapping and Localization using Sparse Semantic Visual Features
Wentao Cheng, Sheng Yang, Maomin Zhou +3
We present a novel method for visual mapping and localization for autonomous vehicles, by extracting, modeling, and optimizing semantic road elements. Specifically, our method inte…
IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
Ming Zhang, Mingming Zhang, Yiming Chen +1
In this work, we propose a novel method for performing inertial aided navigation, by using deep neural networks (DNNs). To date, most DNN inertial navigation methods focus on the t…
Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
Xingxing Zuo, Mingming Zhang, Yiming Chen +3
While visual localization or SLAM has witnessed great progress in past decades, when deploying it on a mobile robot in practice, few works have explicitly considered the kinematic…
A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units
Ming Zhang, Yiming Chen, Xiangyu Xu +1
This paper proposes a novel inertial-aided localization approach by fusing information from multiple inertial measurement units (IMUs) and exteroceptive sensors. IMU is a low-cost…
Pose Estimation for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization
Mingming Zhang, Xingxing Zuo, Yiming Chen +2
In this paper, we focus on motion estimation dedicated for non-holonomic ground robots, by probabilistically fusing measurements from the wheel odometer and exteroceptive sensors.…
Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation
Thomas Schneider, Mingyang Li, Cesar Cadena +2
External effects such as shocks and temperature variations affect the calibration of visual-inertial sensor systems and thus they cannot fully rely on factory calibrations. Re-cali…