Stars
Calibrate the extrinsic parameters between Livox LiDAR and camera
Protocol Buffers - Google's data interchange format
Ground Segmentation from Lidar Point Clouds
Reference models and tools for Cloud TPUs.
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
AbangLZU / SC-LeGO-LOAM
Forked from YiChenCityU/SC-LeGO-LOAMLiDAR SLAM: Scan Context + LeGO-LOAM
Convert KITTI dataset to ROS bag file the easy way!
🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
Hybrid A* Path Planner for the KTH Research Concept Vehicle
A ROS package tool to analyze the IMU performance.
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
SLAM package using NDT registration library of Autoware with loop-closure detection (odometry based) referenced from lego_loam.
Real time 3D semantic segmentation for Lidar, Ros based project
Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)
nutonomy / second.pytorch
Forked from traveller59/second.pytorchPointPillars for KITTI object detection
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
The code base for the RoboNav team's IGVC robot.
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
miracle629 / lidar_align
Forked from ethz-asl/lidar_alignA simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
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. Therefor…