zfb936's starred repositories
ros2_usb_camera
ROS2 USB Camera node
BEVFusion-ROS-TensorRT
BEVFusion-ROS-TensorRT-CPP real time inference including ros1 & ros2.
YOLOv8-TensorRT
YOLOv8 using TensorRT accelerate !
Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
elevation_mapping
Robot-centric elevation mapping for rough terrain navigation
laser_filters
Assorted filters designed to operate on 2D planar laser scanners, which use the sensor_msgs/LaserScan type.
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.
spatio_temporal_voxel_layer
A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations
SuperFusion
[ICRA 2024] SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
multiple-cameras-and-3D-LiDARs-extrinsic-calibration
This repo contains source code of our paper presented in IROS2021 "Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs"
groundgrid
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
Visual-Sensor-Fusion
LiDAR Fusion with Vision
Camera-Lidar-Fusion-ROS
fully applied in ROS. simply fuse the category and location information
camera_lidar_semantic_slam
We propose a semantic segmentation odometry and mapping method based on LIDAR and camera data vision fusion for real-time motion states estimation and high-level understanding of the surrounding environment.
LIO-SAM-DetailedNote
LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS
LeGO-LOAM_NOTED
LeGO-LOAM代码注释与学习
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
DeepStream
A Platform for LiDAR-Camera Fusion
Fusion-Lidar-Camera-ROS
This repository uses a ROS node to subscribe to camera (hikvision) and lidar (livox) data. After the node merges the data, it publishes the colored point cloud and displays it in rviz.