Why is calibration required when combining camera and LiDAR data?

Example Concept: Calibration between camera and LiDAR involves determining the extrinsic parameters that define the transformation from the LiDAR coordinate frame to the camera coordinate frame. This process ensures that the data from both sensors can be accurately overlaid, allowing for improved depth perception and object recognition. The calibration typically involves capturing data from both sensors simultaneously and using algorithms to compute the relative pose, which is crucial for applications like autonomous driving and robotics navigation.