Core Insights - The article discusses the importance of perception technology in modern automotive driver assistance systems, highlighting how it enhances safety and user experience. Group 1: Perception Technology - The main perception combination for advanced driver assistance systems (ADAS) is V+R+L+U, where V represents cameras, R represents millimeter-wave radar, L represents LiDAR, and U represents ultrasonic radar [1] - BYD's "Tian Shen Zhi Yan C" model features a perception scheme of 5R12V, including 5 millimeter-wave radars and 12 cameras [1] Group 2: Camera Technology - Mercedes-Benz utilizes a dual-camera system for front-view perception, employing disparity algorithms for accurate distance measurement [2] - The distance between the two cameras in a dual-camera setup is limited, which can affect detection range [4] - BYD and XPeng have enhanced their systems with a third long-focus camera, improving object recognition capabilities [6] Group 3: Advanced Algorithms - The three-camera system can detect objects up to 350 meters away with a precision of 1 cm, allowing for advanced road surface analysis [8] - The Bird's Eye View (BEV) technology integrates images from multiple cameras to create a panoramic view, aiding in obstacle detection [8][10] - The Occupancy network elevates 2D image data to 3D, allowing for better identification of safe driving areas and potential obstacles [11] Group 4: LiDAR Technology - LiDAR is becoming a mainstream perception solution due to its ability to create detailed environmental point cloud maps, although it has limitations in identifying smaller objects at greater distances [13] - While ADAS cameras provide rich visual information, they are less effective than LiDAR under varying lighting conditions and material types [16]