momomo316's Stars
ceccocats/tkDNN
Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms
icameling/lidar_camera_calibration
based on intensity
SubMishMar/cam_lidar_calib
3D-Lidar Camera Calibration using planar Point to to camera Plane Constraint
agarwa65/lidar_camera_calibration
Lidar Camera Callibration in ROS
545907361/lidar_camera_offline_calibration
用球体标定靶对摄像机和激光雷达进行标定
chinitaberrio/cam_lidar_calibration
hku-mars/joint-lidar-camera-calib
Joint intrinsic and extrinsic LiDAR-camera calibration.
onsemiro11/Camera-Lidar-based-Alert-Object-Detection-and-Tracking-and-Distance-Measurement-during-Driving
Camera-Lidar Sensor fusion with Calibration, ByteTracker , YOLOv7 , Streamlit
Aaron20127/Camera-lidar-joint-calibration
A sample way to jointly calibrate camera and lidar
beltransen/velo2cam_gazebo
Repository including Gazebo models, plugins and worlds to test calibration algorithms for Lidar-camera setups.
mfxox/ILCC
Intensity-based_Lidar_Camera_Calibration
KleinYuan/RGGNet
[RA-L 2020] Official Tensorflow Implementation for "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration with Geometric Deep Learning and Generative Model", IEEE Robotics and Automation Letters 5.4 (2020): 6956-6963
heethesh/lidar_camera_calibration
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
beltransen/velo2cam_calibration
Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.
UMich-BipedLab/extrinsic_lidar_camera_calibration
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Jigmiey/CLOCs
Multimodal Fusion of Camera Image data and LIDAR data for 3D object detection.
mit-han-lab/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
ZhouZijie77/LCPR
[IEEE RA-L 2024] LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition
charlesq34/frustum-pointnets
Frustum PointNets for 3D Object Detection from RGB-D Data
Loahit5101/PointPillars-Camera-LiDAR-Fusion
Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.
cedricxie/apollo_perception_ros
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
nsteve2407/lidar_cam_fusion
denyz/FADN
A 3D object detection neural network in the fusion of lidar point clouds and camera images
cuiDarchan/PointPillars_MultiHead_40FPS_ROS
Add ROS node based on PointPillars_MultiHead_40FPS
collector-m/Sensor_Fusion
Detect obstacles in lidar point clouds through clustering and segmentation. Apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
Liuyaqi99/dbscan_point_cloud
use dbscan cluster algorithm in point cloud segmentation
knaaga/lidar-obstacle-detection
Process LIDAR point cloud data for object detection. Implements RANSAC and Euclidean clustering with KD-Tree
kneehit/LIDAR-Obstacle-Detection
Detecting obstacles in point clouds using filtering, segmentation and clustering using PCL
yogeshgajjar/SFND_Lidar_Obstacle_Detection
3D LiDAR obstacle detection on point cloud data using segmentation and clustering.
HMX2013/FSPC-ROS
A ROS implementation of range image base dbscan clustering for 3D LiDAR point clouds