ADAS（Advanced Driving Assistant System）

ADAS, or Advanced Driver Assistance Systems, is an intelligent safety technology based on multi-sensor fusion. It uses real-time sensor sensing and processor-based algorithmic decision-making to assist drivers and reduce accident risks.

The system's functions cover a full range of scenarios, from high-speed cruising to urban congestion, from parking assistance to complex driving warnings, significantly improving driving safety and comfort.

The ADAS hardware architecture comprises a sensor layer (cameras, millimeter-wave radar, lidar, and ultrasonic radar), a processing unit (a high-performance AI chip), and an execution layer. Using sensors such as cameras (visual perception), millimeter-wave radar (medium- and long-range ranging), lidar (high-precision 3D modeling), and ultrasonic radar (short-range obstacle detection), combined with navigation data, the system dynamically identifies, tracks, and analyzes the vehicle's surroundings, providing driver-friendly warnings or automatic control functions.

ADAS System Functions and Application Scenarios

Safety Warning

Forward Collision Warning (FCW) and Automatic Emergency Braking (AE)

Using cameras or millimeter-wave radar to monitor vehicles or pedestrians ahead in real time, it triggers warnings or active braking when a potential collision is detected, reducing the risk of rear-end collisions.

Application Scenarios: Pedestrians crossing the road, emergency lane changes, and following vehicles at high speeds.

Lane Departure Warning (LDW) and Lane Keeping Assist (LKA)

Visual sensors identify lane markings and issue warnings or automatically adjust direction and distance when the vehicle deviates from its lane or becomes too close to the vehicle ahead.

Application Scenarios: Fatigue-prone driving and long-distance driving.

Blind Spot Detection (BSD)

Uses ultrasonic/millimeter-wave radar to detect vehicles or pedestrians in the side and rear blind spots, alerting the driver when changing lanes or overtaking, reducing the risk of side collisions.

Application Scenarios: Changing lanes at traffic lights/crossings and driving in narrow lanes.

Driving Assistance

Adaptive Cruise Control (ACC)

Combines radar and cameras to automatically adjust the vehicle's speed based on the distance to the vehicle ahead, enhancing driving comfort.

Application Scenarios: Suitable for long-distance driving on highways and urban expressways.

Traffic Jam Assist (TJA)

Automatically controls vehicle speed and lane position in low-speed, congested areas, reducing fatigue caused by frequent stops and starts.

Application Scenario: Congested roads.

Traffic Sign Recognition (TSR)

Using cameras to capture speed limit and no-entry signs, it helps drivers comply with traffic regulations.

Application Scenario: Urban roads and complex intersections.

Parking Assistance

Automatic Parking (APA/SVC)

Ultrasonic radar and camera fusion assist the vehicle with automatic steering and braking.

Application Scenario: Tight parking spaces or perpendicular/parallel parking.

360° Panoramic Imaging

Multi-camera stitching provides a comprehensive view of the vehicle's surroundings, assisting the driver in observing the surroundings.

Classic Applications: Underground garages, complex road conditions, and low visibility.

Special Environments and Extended Scenarios

lDriver Monitoring System (DMS) uses infrared cameras to detect driver fatigue or distraction, providing timely warnings in high-risk scenarios such as long-distance driving and nighttime driving.

lElectronic rearview mirrors and night vision assist replace traditional rearview mirrors, enhancing situational awareness in low-light conditions such as rain, snow, and at night.

lPublic Transportation Assistance (Public Transportation Assistance) has expanded some ADAS technologies (such as lane keeping and automatic obstacle avoidance) to Level 4 autonomous minibus testing for use in scenarios such as campus shuttles and urban micro-circulation.

The core significance of ADAS systems lies in their closed-loop technology of environmental perception, risk warning, and active control, reducing accident rates, alleviating driving burdens, ensuring regulatory compliance, and supporting technological iteration. Its value has expanded beyond simple safety features to encompass the development of a smart car ecosystem, becoming a core driver of the intelligent upgrade of modern transportation systems.‌