56 citations · 95 across the 8 of their papers we have counts for
8 papers
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
Mingyang Li, Yue Ma, Qinru Qiu
Current techniques in Visual Simultaneous Localization and Mapping (VSLAM) estimate camera displacement by comparing image features of consecutive scenes. These algorithms depend o…
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.…