What is ADAS?
Advanced Driver Assistance Systems are electronic systems that help drivers with maneuvering and parking. Through a safe human-machine interface, it can significantly increase car and road safety.
ADAS systems use artificial intelligence technology such as sensors and cameras to detect nearby obstacles, driver errors and respond accordingly.
How does it work?
ADAS systems were first being used and introduced around 50 years ago to adopt the anti-lock braking system.
Early ADAS adaptation includes the following:
- Electronic stability control
- Anti-lock brakes
- Blindspot information systems
- Lane departure warning
- Adaptive cruise control
- Traction control
Mechanical alignment, adjustments, and collision damage can affect ADAS. These failures led many manufacturers to require resets to the system after every automatic alignment.
Compared to driver-assistance systems, ADAS relies on information inputs from multiple data sources. These include automotive imaging, LIDAR, radar, image processing, computer vision, and in-car networking.
Modern cars have newer ADAS systems integrated directly into their computer box.
Manufacturers have started adding these features to their more recent models due to the advanced and increased safety features.
Why is ADAS important?
Since ADAS are real-time systems, they react quickly to multiple inputs and prioritize the incoming information to prevent accidents and possible problems along the road.
The systems use preemptive scheduling that prioritizes which task is first, using a fairly complex system of AI coding. The improper assignment of these tasks then can cause more harm than good.
According to the August 2016 Traffic Safety Facts Research Note by the National Highway Traffic Safety Administration, “The Nation lost 35,092 people in crashes on U.S. roadways during 2015.”
The abrupt 7.2% increase was “the largest percentage increase in nearly 50 years.”
An analysis shows that 94% of those accidents are caused by human misjudgment or negligence, and the rest by environmental and mechanical failures. Thus, the opportunity to reduce car accidents makes automotive ADAS even more critical.
Automatic emergency braking, pedestrian detection, surrounding view backup cameras, parking assist, driver-drowsiness detection, and gaze-detection are among the many ADAS applications that assist drivers with safety-critical functionality to reduce car accidents and save lives.
The Future of ADAS
The rapid increase in the amount of car electronic hardware and software requires a rapid change in the present situation of automobile designs.
Manufacturers have identified the convergence of these conflicting goals:
- An increase in reliability
- Reduction of costs
- Shorter development cycles
There is a shifting trend from ADAS electronic controller units (ECUs) to the integration of ADAS domain controllers with centralized ECUs.
This means that the systems are able to handle the information that is currently at what SAE International designates as Level 2.
Level 2 is where the vehicle can control both the steering and acceleration or deceleration, but falls short of self-driving because humans are in the driver’s seat and ultimately control the car.
The shift toward fully autonomous cars—vehicles capable of the environment-sensing and operating without human interaction—requires an increase in the electronic architecture of these automobiles.
Manufacturers of automotive are looking towards the development and integration of even better ADAS systems in the coming years. This means good news for everybody on the road.
The development of ADAS has certainly been a step in the right direction towards creating fewer injuries and deaths. And then is helping lead to a much safer driving experience for all, which is something we can all celebrate.