GXU-doudou's starred repositories
Awesome_Dynamic_SLAM
Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)
robot_localization
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
ros1_bridge
ROS 2 package that provides bidirectional communication between ROS 1 and ROS 2
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
LIDAR-based-odometry-using-EKF-and-NDT-matching-algorithm-running-on-GPU
This repository is work at the Embedded Computing Lab at Worcester Polytechnic Institute. A map around WPI is used for localization. NDT algorithm is used for scan matching and finding the pose of the vehicle in the map.
AVP-SLAM-PLUS
An implementation of AVP-SLAM and some new contributions
SuperFusion
[ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
DBScan-PCL-Optimized
DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library
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 system that is able to identify the marking just by looking at the intensity value within the point cloud.
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
awesome-lane-detection
A paper list of lane detection.
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
FAST_LIO_LOCALIZATION
A simple localization framework that can re-localize in built maps based on FAST-LIO.
LIO_SAM_6AXIS
LIO_SAM for 6-axis IMU and GNSS.