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monodepth

Unsupervised single image depth prediction with CNNs

mpu6050

Use python to get angle data from MPU6050 by serial

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

nvidia-autopilot-keras

Keras Implementation of End to End Learning for Self-Driving Cars by (Baris Kayalibay, Grady Jensen, Patrick van der Smagt)

opencv-python-tutorials

The Opencv-Python tutorial Chinese translation #OpenCV-Python教程的中文翻译

openmower

Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing robots!

plycal

Extrinsic calibration of the camera and LiDAR via polygon plane

point-cloud-perception-papers-reading

Some papers about 3D point cloud processing from LiDAR, cameras, etc.

projection

Project Lidar Points into Camera

pwc

有代码的论文 Papers with code. Sorted by stars. Updated weekly.

pydnet

Repository for pydnet, IROS 2018

pydnet-1

pyrtklib

Processing / plotting of RINEX based GPS & Galileo data

pytorch-yolov4---paper

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pywifi

A cross-platform module for manipulating WiFi devices.

reach_ros_node

ROS driver for the Reach RTK GNSS module by Emlid

road_estimation

Estimate road slope from lidar. Camera bounding box projection to the estimated plane

road_seg_deeplabv3

Range Image based road segmentation using DeepLabv3 plus

road_slope_detection_ros_tool

road_surface_reconstruction

robo_imu

IMU data processing (e.g calculate angle)

ros-camera-lidar-calibration

ros_lidar_camera

Test of lidar camera calibration with ROS

ros_mpu6050_calibration

ROS package for mpu6050_calibration and test on Raspberry PI

roshit_imu-

这是一个关于履带车的控制程序，包括上位机和下位机arduino代码，以及对激光雷达、IMU、kinect v2.0、GPS等传感器信号的数据读取。

semantic_segmentation

Semantically segment the road in the given image.

sensor_fusion

By integrating the data of LiDAR and camera, create teacher data sets for monocular camera.

sensor_fusion_2021_12_20

code of sensor fusion

sensorfusionnanodegree

Learn to 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.

sfnd_3d_object_tracking

camera object tracking，lidar object tracking, camera and lidar fusion object tracking