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maple-yang-neu's Projects

r2live icon r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

rcf icon rcf

Richer Convolutional Features for Edge Detection

registration-in-dynamic-environment icon registration-in-dynamic-environment

Life-long Visual Localization of a Mobile Robot in Changing Environments The goal of the thesis is to design and implement a method for visual localization of a mobile robot in a changing environment and evaluate the method on a real mobile robot.

ros_stereo_slam icon ros_stereo_slam

Simple implementation of Stereo SLAM system on KITTI dataset using Dense feature sampling and 3D-2D PnP localization, loop closure and g2o pose graph optimization.

sciplot icon sciplot

A modern C++ scientific plotting library powered by gnuplot

selective_search_py icon selective_search_py

Python-based implementation of the Selective Search for Object Recognition, back ported from Python 3 to Python 2.7

stereo_sparse_depth_fusion icon stereo_sparse_depth_fusion

ICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++

tp-lsd icon tp-lsd

Official implementation of paper "TP-LSD: Tri-points based line segment detector" .

vi-stereo-dso icon vi-stereo-dso

Direct sparse odometry combined with stereo cameras and IMU

vido-slam icon vido-slam

VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects pose and track objects.

vlase icon vlase

VLASE: Vehicle Localization by Aggregating Semantic Edges

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