Sensor Fusion Nanodegree

Lessons

Lidar
1. Point Cloud Segmentation - segment
2. Clustering Obstacles - cluster
3. Working with Real PCD - filter
Camera
1. Camera - camera
2. Collision - collision
3. Tracking Features - tracking-features
4. Lidar-Camera Projection - lidar-camera-projection
Radar
1. Radar Principles - radar-principles
2. Range-Doppler Estimation- range-doppler-estimation
3. Clutter, CFAR, AoA - clutter-cfar-aoa
4. Clustering and Tracking - radar-clustering-tracking
Kalman Filters
1. Unscented Kalman Filters - ukf

Name		Name	Last commit message	Last commit date
1.lidar		1.lidar
2.camera		2.camera
3.radar		3.radar
4.kalman_filters		4.kalman_filters
SFND_2D_Feature_Matching		SFND_2D_Feature_Matching
SFND_3D_Object_Tracking		SFND_3D_Object_Tracking
SFND_Lidar_Obstacle_Detection		SFND_Lidar_Obstacle_Detection
SFND_Radar_Target_Detection		SFND_Radar_Target_Detection
SFND_Unscented_Kalman_Filter		SFND_Unscented_Kalman_Filter
README.md		README.md