A vehicle’s advanced driver-assistance systems (ADAS) are electronic systems that utilise modern technology to aid the driver. They can incorporate a variety of active safety measures, and the phrases “ADAS” and “active safety” are sometimes used interchangeably.
ADAS sees the environment around it using sensors in the car such as radar and cameras, and then either delivers information to the driver or takes autonomous action based on what it perceives.
ADAS certification courses focus right from the basics of image processing techniques to in-depth concepts of 3D vision and computer architecture frameworks such as ResNet, Yolo, etc.
Most ADAS functions that convey information will include the word “warning” in their name. For example, if the car detects another vehicle or a bike in an area where the driver may not be able to see them, features like a blind-spot warning or rear backup warning will inform the driver. Similarly, if the system detects that the car is leaving its lane, it may activate a lane departure warning to inform the driver.
When these detections are combined with technology that goes beyond a basic warning, ADAS is transformed into an active safety system, which means the car will “actively” regulate brakes or steering. Most of these features include the word “help” in the name.
These qualities can significantly improve ADAS’s ability to save lives. The Insurance Institute for Highway Safety, for example, discovered that forward collision warning systems reduce front-to-rear collisions by 27%; when the system also incorporates the capacity to autonomously brake, that figure nearly doubles. Similarly, rearview cameras minimize backing collisions by 17%, whereas rear automatic braking reduces them by 78%.
ADAS also incorporates propulsion functions like adaptive cruise control, which changes speed to keep a vehicle a safe distance from the car in front of it. Under some scenarios, like highway driving or stop-and-go traffic, more sophisticated ADAS capabilities can even manage steering and propulsion without the need for hands-on control from the driver. These are commonly known as Level 2+ active safety systems, and they provide some of the most extensive features currently available on the market.
Aptiv sees autonomous driving as a subset of ADAS, with the difference being the extent of driver interaction. The driver is still involved in the act of driving in an ADAS system, sometimes known as being “in the loop.” Their hands may not be on the steering wheel, and their feet may not be on the pedals, but they are still ultimately accountable for the vehicle’s safe functioning. Many OEMs will use driver state detecting technologies to assist guarantee drivers to stay engaged. The driver is allowed to be “out of the loop” in autonomous driving, and the vehicle takes charge.
Aptiv is democratizing ADAS with these scalable and efficient systems that have the potential to save lives. ADAS and active safety technologies will help make vehicle-related injuries and fatalities a thing of the past as we collaborate with our OEM partners, vendors, and others in the industry.
Advanced driver assistance online course helps you understand the role of Machine Learning and Deep Learning briefly in the latest ADAS development.