18 citations · 37 across the 7 of their papers we have counts for
7 papers
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…
Large-Scale Training System for 100-Million Classification at Alibaba
Liuyihan Song, Pan Pan, Kang Zhao +5
In the last decades, extreme classification has become an essential topic for deep learning. It has achieved great success in many areas, especially in computer vision and natural…
Visual-based Kinematics and Pose Estimation for Skid-Steering Robots
Xingxing Zuo, Mingming Zhang, Mengmeng Wang +4
To build commercial robots, skid-steering mechanical design is of increased popularity due to its manufacturing simplicity and unique mechanism. However, these also cause significa…
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…