1 citations · 2 across the 4 of their papers we have counts for
4 papers
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
Xiangrui Zhao, Sheng Yang, Tianxin Huang +4
Poles and building edges are frequently observable objects on urban roads, conveying reliable hints for various computer vision tasks. To repetitively extract them as features and…
DIDO: Deep Inertial Quadrotor Dynamical Odometry
Kunyi Zhang, Chenxing Jiang, Jinghang Li +4
In this work, we propose an interoceptive-only state estimation system for a quadrotor with deep neural network processing, where the quadrotor dynamics is considered as a percepti…
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…
The Visual-Inertial-Dynamical Multirotor Dataset
Kunyi Zhang, Tiankai Yang, Ziming Ding +5
Recently, the community has witnessed numerous datasets built for developing and testing state estimators. However, for some applications such as aerial transportation or search-an…