Using Euclidiean Clustering and RANSAC to detect Objects in Lidar captured Point Clouds (PCDs)

Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS

Kalman filters are really good at taking noisy sensor data and smoothing out the data to make more accurate predictions. For autonomous vehicles, Kalman filters can be used in object tracking. A Kalman filter does this by weighing the uncertainty in your belief about the location versus the uncertainty in the lidar or radar measurement. If your …