This project is part of Udacity's Sensor Fusion Course.
In this project we process LiDAR point cloud data using PCL library for object detection. The pipeline includes the follwing steps:
1. Downsampling - Downsample the point cloud to reduce computation.
2. Segmentation - Detect the major plane i.e. road surface using RANSAC.
3. Clustering - Cluster the individual object point clouds together.
4. Bounding Box - Put a bounding box around the individual object point cloud clusters.