GitHub - 391311qy/Udacity_Sensor_Fusion_Nano_Degree: This repo is for 4 sensor fusion projects that use real-world data from images, lidar, and radar.

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This repo is for 4 sensor fusion projects that use real-world data from images, lidar, and radar.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Camera_Lidar_3D_Object_tracking		Camera_Lidar_3D_Object_tracking
Lidar_Object_Detection		Lidar_Object_Detection
Radar_target_detection		Radar_target_detection
Unscented_Kalman_Filter		Unscented_Kalman_Filter
references		references
.gitignore		.gitignore
README.md		README.md

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This is a repository for the Udacity Sensor Fusion Nano Degree projects that I have been worked on during the learning.

There are 4 projects:

Lidar Obstacle Detection
Lidar Camera Fusion on Total Time to Collide
Radar Target Detection
Unscented Kalman Filter Estimation

Dependencies:

Point Cloud Library PCL 1.8 https://pointclouds.org/downloads/ (PCL 1.11 might fail with VTK)
Eigen 3.3.9 https://eigen.tuxfamily.org/dox/
OpenCV 4.5.1 https://docs.opencv.org/4.5.1/df/d65/tutorial_table_of_content_introduction.html The OpenCV 4.1.0 source code can be found here
YOLOv3 https://github.com/ultralytics/yolov3

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This repo is for 4 sensor fusion projects that use real-world data from images, lidar, and radar.

opencv ukf sensor-fusion lidar-point-cloud ukf-localization yolov3

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