{"id":4306,"date":"2022-05-23T15:29:53","date_gmt":"2022-05-23T07:29:53","guid":{"rendered":"https:\/\/ascendas-asia.com\/?page_id=4306"},"modified":"2022-05-27T10:38:15","modified_gmt":"2022-05-27T02:38:15","slug":"advanced-driver-assistance-systems","status":"publish","type":"page","link":"https:\/\/ascendas-asia.com\/th\/resources\/advanced-driver-assistance-systems\/","title":{"rendered":"Advanced Driver-Assistance Systems (ADAS)"},"content":{"rendered":"
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Advanced driver-assistance systems (ADAS) are the hardware and software components that automate a driver’s responsibilities. Examples of ADAS in vehicles today include adaptive cruise control, blind spot detection, lane change detection, automatic lane following, and automatic emergency braking.<\/span><\/span><\/p>\n

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Why does ADAS matter?<\/span><\/p>\n

ADAS can make roads safer by minimizing human error. Some ADAS systems enforce safe driving habits by alerting drivers of unsafe road scenarios, such as when a car in the driver’s blind spot would make changing lanes dangerous. Other ADAS systems automate driving behaviors, such as collision avoidance with autonomous emergency braking.<\/span><\/p>\n

In fact, ADAS prevents 28% of all crashes and 9,900 annual fatalities in the U.S., according to a study by Boston Consulting Group.<\/span><\/p>\n

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Levels of ADAS<\/h3>\n

There are five levels of driving automation as defined by the Society of Automotive Engineers. Most cars on the road today have ADAS features between Level 0 and Level 3. Companies at the forefront of automated driving are pursuing Levels 4 and 5.<\/p>\n<\/div>\n<\/div>\n

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\"SAE<\/p>\n
SAE J3016™ Levels of Driving Automation™ Fully autonomous vehicles may become a reality as the safety, cybersecurity, and policy issues are being worked out.<\/span><\/div>\n<\/div>\n<\/div>\n
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How are ADAS Features Designed?<\/span><\/span><\/p>\n

Advanced driver-assistance systems (ADAS) are the hardware and software components that automate a driver’s responsibilities. Examples of ADAS in vehicles today include adaptive cruise control, blind spot detection, lane change detection, automatic lane following, and automatic emergency braking. <\/span><\/span><\/p>\n

To understand how ADAS features are designed, let’s use adaptive cruise control as an example. When using this ADAS feature, the car slows down as it approaches a vehicle in front and accelerates to cruising speed if the vehicle in front moves a safe distance away. <\/span><\/span><\/p>\n

The first step in designing adaptive cruise control (ACC) is to collect data from sensors mounted on the car. For adaptive cruise control, we need a camera and a radar sensor. The camera detects the other objects in the frame (vehicle, pedestrian, tree, etc.) and the radar calculates the distance from our car to the object. After collecting data from our sensors, we turn our focus to ADAS Algorithm development. Adaptive cruise cotnrol can be broken down into three steps:<\/span><\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Steps 1, 2, and 3 correspond to the following:<\/p>\n

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  1. A perception algorithm to detect if there is a vehicle in front of us<\/li>\n
  2. A radar algorithm to calculate our distance from the vehicle<\/li>\n
  3. A controls algorithm to adjust the speed of our car based on the distance measurement.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n
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    We used ACC as an ADAS example, but the general methodology of choosing the right sensors and designing algorithms based on the sensor data applies to all ADAS features.<\/p>\n

    The Importance of Sensors<\/h3>\n

    The three most popular sensor types used for ADAS features are camera, radar, and lidar.<\/p>\n

    Cameras<\/h4>\n

    Cameras are used for detection-related ADAS tasks. Cameras on the side of a vehicle can detect blind spots. Cameras in the front can detect lanes, vehicles, signs, pedestrians, and cyclists. The associated ADAS detection algorithms are generally built using conventional <\/span>computer vision <\/span>and deep learning algorithms. Cameras have several advantages:<\/p>\n