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Data Structures and Algorithms in C/C++
This is a tool for software engineers to view,record and analyse data(sensor data and module data) In the process of software development.
An awesome list of self-driving cars
fully applied in ROS. simply fuse the category and location information
Real time 3D semantic segmentation for Lidar, Ros based project
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Object Detection 2Dto3D by Yolov5 ,TensorRT ,Matched by clustering
A LiDAR point cloud cluster for panoptic segmentation
Python package for the evaluation of odometry and SLAM
Free space detection for automated vehicles
📚 C/C++面试基础知识总结
This is a lidar segmentation method based on range image.
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Makes Linux applications self-contained by copying in the libraries and plugins that the application uses, and optionally generates an AppImage. Can be used for Qt and other applications
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Extrinsic Calibration of a Odom and 2d Laser
The LiDAR segmenters library, for segmentation-based detection.
Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)
By integrating the data of LiDAR and camera, create teacher data sets for monocular camera.
Combining sensor inputs from camera/lidar/radar to detect, track moving vehicles and estimate their speed and direction.
camera object tracking,lidar object tracking, camera and lidar fusion object tracking
edition 2 of the slambook
自动驾驶系统实现
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
视觉(语义) SLAM 相关研究跟踪
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