Albert Zhou's repositories
vins-application
VINS-Mono and Fusion application of different sets of cameras and imu on different board including desktop and jetson xavier
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
backpropagation
学习反向传播的python3代码
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
DenseSurfelMapping
This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"
DQN-snake
Deep Reinforcement Learning algorithm to learn to play Snake
GCNv2_SLAM
Real-time SLAM system with deep features
kitti_to_rosbag_for_vio
a modified version based on ethz-asl/kitti_to_rosbag to record image and imu data for running VIOs
mnist_ann_from_scratch
ANN made from scratch implemented on mnist dataset for digit classification
monodepth2
Monocular depth estimation from a single image
msckf_vio
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Multi-Sensor-Fusion
Multi-Sensor Fusion (GNSS, IMU, Camera and so on) 多源多传感器融合定位 GPS/INS组合导航
numpy_neural_network
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...
R-VIO
Robocentric Visual-Inertial Odometry (IROS2018, IJRR2019)
Recent-Stars-2019
:star: SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rpg_trajectory_evaluation
Toolbox for quantitative trajectory evaluation of VO/VIO
self_commit_ORB-SLAM2
ORB-SLAM2 源码注释， 基于泡泡机器人的注释版本
shenlanSLAM
Assignments of shenlan SLAM course.
SuperPoint_SLAM
SuperPoint + ORB_SLAM2
surfelmeshing
Real-time surfel-based mesh reconstruction from RGB-D video.
VI-Stereo-DSO
Direct sparse odometry combined with stereo cameras and IMU
VINS-Fusion-gpu
This repository is a version of VINS-Fusion with gpu acceleration. It can run on the Nvidia TX2 in realtime
vitamin-e-1
unofficial attempt to reproduce results from VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points