Sensor Fusion Self-Driving Car Course Project

Rubric Points

During this project some key algortihms were implemented from scratch e.g:

• RANSAC
• K-d Tree
• Eucledean Clustering

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1. Compiling and Testing

• The submission must compile.

2. Obstacle Detection

• Filtering the point cloud

• Bounding boxes enclose appropriate objects.

• Objects are consistently detected across frames in the video.

• Segmentation is implemented in the project.

• Clustering is implemented in the project.

3. Code Efficiency

• The methods in the code should avoid unnecessary calculations.

References

• Tutorials: PhD-3D-Object-Tracking
• PCL