learning SLAM,curse,paper and others

Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels

A simple localization framework that can re-localize in built maps based on FAST-LIO.

A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.

A curated list of awesome datasets for SLAM

Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合

kalmal filter localization

Using error-state Kalman filter to fuse the IMU and GPS data for localization.

electron-ssr原作者删除了这个伟大的项目，故备份了下来，不继续开发,且用且珍惜

openvslam的注释版代码

误差状态卡尔曼ESKF滤波器融合GPS和IMU，实现更高精度的定位

Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets

Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!

日常工作学习记录...持续更新