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autoware_ai_perception

autoware_ai_perception_for_learning

deepstream

A Platform for LiDAR-Camera Fusion

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fl2sam_gps

large-scale mapping system based on FAST-LIO2 and GNSS for Outdoor environment

fusion_localization

fusion_localization

hello

lane-marking-detection

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

lidar_curb_detection

3D Lidar Curb Dectection implementation in ROS

lidarroadboundarydetection

An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments

lio-fusion

A reinforced LiDAR inertial odometry system provides accurate and robust 6-DoF movement estimation under challenging perceptual conditions.

lio-ppf

Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking

lio_sam_6axis

LIO_SAM for 6-axis IMU and low-cost GNSS.

m-loam

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

sensor-fusion-for-localization-and-mapping

深蓝学院 多传感器定位融合第四期 学习笔记

vinet

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem