Almost all vehicle accidents are caused by human error, which can be avoided with Advanced Driver Assistance Systems (ADAS). The role of ADAS is lớn prevent deaths & injuries by reducing the number of oto accidents và the serious impact of those that cannot be avoided.

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Essential safety-critical ADAS applications include:

Pedestrian detection/avoidanceLane departure warning/correctionTraffic sign recognitionAutomatic emergency brakingBlind spot detection

These lifesaving systems are key to the success of ADAS applications. They incorporate the latest interface standards and run multiple vision-based algorithms to support real-time multimedia, vision coprocessing, & sensor fusion subsystems.

The moderinization of ADAS applications is the first steps toward realizing autonomous vehicles.


How does ADAS work?


Automobiles are the foundation of the next generation of mobile-connected devices, with rapid advances being made in autonomous vehicles. Autonomous application solutions are partitioned into various chips, calledsystems on a chip (SoCs). These chips connect sensors to actuators through interfaces và high-performance electronic controller units (ECUs).

Self-driving cars use a variety of these applications & technologies lớn gain 360-degree vision, both near (in the vehicle’s immediate vicinity) và far. That means hardware designs are using more advanced process nodes lớn meet ever-higher performance targets while simultaneously reducing demands on power và footprint.


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What are some ADAS applications?


Significant automotive safety improvements in the past (e.g., shatter-resistant glass, three-point seatbelts, airbags) were passive safety measures designed to lớn minimize injury during an accident. Today, ADAS systems actively improve safety with the help ofembedded vision by reducing the occurrence of accidents & injury khổng lồ occupants.

The implementation of cameras in the vehicle involves a new AI function that uses sensor fusion to identify & process objects. Sensor fusion, similar khổng lồ how the human brain process information, combines large amounts of data with the help of image recognition software, ultrasound sensors, lidar, and radar. This giải pháp công nghệ can physically respond faster than a human driver ever could. It can analyze streaming đoạn clip in real time, recognize what the video shows, & determine how to lớn react to it.

These are some of the most common ADAS applications:

Adaptive Cruise Control

Adaptive cruise control is particularly helpful on the highway, where drivers can find it difficult to monitor their speed & other cars over a long period of time. Advanced cruise control can automatically accelerate, slow down, & at times stop the vehicle, depending on the action’s other objects in the immediate area.

Glare-Free High Beam and pixel Light

Glare-free high beam and px light uses sensors lớn adjust khổng lồ darkness and the vehicle’s surroundings without disturbing oncoming traffic. This new headlight application detects the lights of other vehicles và redirects the vehicle’s lights away to prevent other road users from being temporarily blinded.

Adaptive Light Control

Adaptive light control adapts the vehicle’s headlights to lớn external lighting conditions. It changes the strength, direction, and rotation of the headlights depending on the vehicle’s environment và darkness.

Automatic Parking

Automatic parking helps inform drivers ofunseen areas so they know when lớn turn the steering wheel và stop. Vehicles equipped with rearview cameras have a better view of their surroundings than traditional side mirrors. Some systems can even complete parking automatically without the driver’s help by combining the input đầu vào of multiple sensors.

Autonomous Valet Parking

Autonomous valet parking is a new công nghệ that works via vehicle sensor meshing, 5G network communication, and cloud services that manage autonomous vehicles in parking areas. Sensors provide the vehicle with information about where it is, where it needs khổng lồ go, & how lớn get there safely. All this information is methodically evaluated & used to perform drive acceleration, braking, & steering until the vehicle is safely parked.

Navigation System

Car navigation systems provide on-screen instructions and voice prompts to lớn help drivers follow a route while concentrating on the road. Some navigation systems can display exact traffic data, & if necessary, plan a new route to lớn avoid traffic jams. Advanced systems may even offer heads-up displays khổng lồ reduce driver distraction.


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Night Vision

Night vision systems enable drivers khổng lồ see things that would otherwise be difficult or impossible to lớn see at night. There are two categories of night vision implementations: Active night vision systems project infrared light, & passive systems rely on the thermal energy that comes from cars, animals, and other objects.

Unseen AreaMonitoring

Unseen areadetection systems use sensors lớn provide drivers with important information that is otherwise difficult or impossible khổng lồ obtain. Some systems sound an alarm when they detect an object in the driver’s unseen area, such as when the driver tries khổng lồ move into an occupied lane.

Automatic Emergency Braking

Automatic emergency braking uses sensors khổng lồ detect whether the driver is in the process of hitting another vehicle or other objects on the road. This application can measure the distance of nearby traffic and alert the driver to lớn any danger. Some emergency braking systems can take preventive safety measures such as tightening seat belts, reducing speed, and engaging adaptive steering to avoid a collision.

Crosswind Stabilization

This relatively new ADAS feature supports the vehicle in counteracting strong crosswinds. The sensors in this system can detect strong pressure acting on the vehicle while driving & apply brakes to the wheels affected by crosswind disturbance.

Driver Drowsiness Detection

Driver drowsiness detection warns drivers of sleepiness or other road distractions. There are several ways to determine whether a driver’s attention is decreasing. In one case, sensors can analyze the movement of the driver’s head và heart rate khổng lồ determine whether they indicate drowsiness. Other systems issue driver alerts similar to the warning signals for lane detection.

Driver Monitoring System

The driver monitoring system is another way of measuring the driver’s attention. The camera sensors can analyze whether the driver’s eyes are on the road or drifting. Driver monitoring systems can alert drivers with noises, vibrations in the steering wheel, or flashing lights. In some cases, the oto will take the extreme measure of stopping the vehicle completely.

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5G và V2X

This hot new 5G ADAS feature provides communication between the vehicle & other vehicles or pedestrians with increased reliability and lower latency, generally referred to lớn as V2X. Today, millions of vehicles connect to cellular networks for real-time navigation. This application will enhance existing methods và the cellular network to lớn improve situational awareness, control or suggest speed adjustments to trương mục for traffic congestion, and provide real-time updates lớn GPS maps. V2X is essential to support over-the-air software updates for the now-extensive range of software-driven systems in cars, from map updates to lớn bug fixes lớn security updates and more.