In theory, there is the possibility of making autonomous vehicles react incorrectly by falsifying signals. Autonomous vehicles rely on various sensors to sense the surrounding environment and make decisions, such as lidar, cameras, millimeter wave radar, etc. If someone can falsify the signals on which these sensors depend, it may interfere with the vehicle's perception system. For example, falsifying millimeter-wave radar signals of a specific frequency may cause the vehicle to misjudge the distance, speed, or direction of the obstacle in front of it; or interfere with the image data received by the camera, allowing the vehicle to misidentify road signs, other vehicles, and pedestrians. This may mislead the vehicle to make wrong reactions such as wrong steering, sudden braking or acceleration, thereby seriously threatening traffic safety. However, autonomous driving technology is constantly developing and improving, and vehicle manufacturers are also taking a variety of measures to enhance the safety and anti-interference capabilities of the system, including signal encryption, multi-sensor fusion verification, anomaly detection algorithms, etc., to reduce the risk of being attacked by forged signals, but this potential threat cannot be completely ruled out.