Camera data is processed and fused with data from other sensors before being sent to displays. Taking the TDA4 processor as an example: camera data passes through the VPAC module of the TDA4x, which performs lens distortion correction on raw video, and through the MMA to accelerate deep learning models (e.g., object classification), generating environmental perception results. In addition to camera data, information from ultrasonic sensors and LiDAR can be integrated to construct a 3D environmental model around the vehicle, providing decision-making support for automated parking or L3 autonomous driving. Figure 2-1 illustrates the data processing modules of the SoC TDA4.