auroralwj's repositories
Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
Awesome-Vehicle-Planning
This repo collects interesting papers related to Autonomous Vehicle Planning (along with some personal notes).
Birds-eye-view-Perception
Awesome BEV perception research and cookbook for all level audience in autonomous diriving
CV
Curriculum Vitae / 简历
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
deep-learning-localization-mapping
A collection of deep learning based localization models
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
docs_openrtk
OpenRTK Documentation Website
eagleye
Precise localization based on GNSS and IMU.
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
GINav
GNSS and GNSS/INS integration algorithms
gtsam_fusion
Estimates pose, velocity, and accelerometer / gyroscope biases by fusing GPS position and/or 6DOF pose with IMU data. The fusion is done using GTSAM's sparse nonlinear incremental optimization (ISAM2). The ROS (rospy) node is implemented using GTSAM's python3 inteface.
GUL
GNSS Utility Library
IMU-study
对常见IMU芯片的原理、驱动和数据融合算法整理，以区分某度、某坛上面碎片化严重到影响入坑的乱象
kalibr
The Kalibr visual-inertial calibration toolbox
Kimera
Index repo for Kimera code
ML-notes
notes about machine learning
Motion-Planning
Books and Papers（mostly about UAV and CPP problem）
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
OB_GINS
An Optimization-Based GNSS/INS Integrated Navigation System
PPPLib
Precise Point Positioning Library
TEASER-plusplus
A fast and robust point cloud registration library
UrbanNavDataset
UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas
vim-galore-zh_cn
Vim 从入门到精通