
Explore the four building blocks of automotive architecture—sensor, perception, decision making, and actuation—likened to eyes, ears, and hands, and learn the V-model SDLC for software-hardware integration in ADAS.
Use model based development to convert Matlab or Simulink models into code for automotive ECU software. This approach enables rapid prototyping, automatic code generation, and MIL, SIL, and HIL testing.
Explore the six levels of ADAS, from driver-only control in levels 0–2 to autonomous driving in levels 3–5, with level 4 limited to mapped areas and level 5 worldwide autonomy.
Explore adaptive cruise control, a level one ADAS that automatically maintains a set distance by adjusting speed using radar or camera data and IMU inputs.
Explore rear cross traffic alert automatically activates in reverse and surround view camera systems using radar and ultrasonic sensors with four cameras to deliver a 360-degree view, noting its limitations.
Discover safe exit alert and lane departure warning: radar detects oncoming traffic to prevent door opening, while a camera detects lane marks to warn of drifting.
Demonstrate lane departure warning and lane keeping assist with camera-based lane tracking, plus forward collision warning and autonomous emergency braking that assist and brake to prevent crashes.
Electronic stability control prevents skidding and protects steering by braking wheels to counter oversteer or understeer, while blind spot detection uses ultrasonic sensors to warn of vehicles behind.
Explore obstacle aware acceleration to prevent lurching when pedals are mispressed, trailer tow assist for controlled trailer backing, and traffic sign recognition to enforce speed limits.
Advanced driver-assistance systems (ADAS) are electronic systems in a vehicle that use advanced technologies to assist the driver.
Systems which aid & enhance the perception of the driver
Systems which enhance the overall safety of the vehicle. It is found that forward collision warning systems lower front-to-rear crashes by 27%; when the system also includes the ability to automatically brake, that number nearly doubles.
Similarly, rearview cameras reduce backing crashes by 17%, but rear automatic braking lowers them by a massive 78%.
Almost all vehicle accidents are caused by human error, which can be avoided with Advanced Driver Assistance Systems (ADAS).
The role of ADAS is to prevent deaths and injuries by reducing the number of car accidents and the serious impact of those that cannot be avoided.
ADAS uses sensors in the vehicle such as Ultrasonic sensors, radar and cameras to perceive the world around it, and then either provides information to the driver or takes automatic action based on what it perceives.
ADAS also includes propulsion functions such as adaptive cruise control, which varies speed to ensure that a vehicle maintains a safe distance from the vehicle in front of it.
More sophisticated ADAS features can even manage steering and propulsion without the need for hands-on control from the driver under certain conditions, such as highway driving or stop-and-go traffic.
These are typically referred to as Level 2+ active safety systems, and represent some of the most advanced functionalities currently available on the market.
ADAS technologies are paving the way for autonomous driving in the future
Advanced driver-assistance systems (ADAS) can help to prevent accidents and save lives.
ADAS can help drivers to stay in their lane, avoid collisions, and reduce the severity of accidents.
ADAS can help to improve driver comfort and reduce driver fatigue.
ADAS can help to improve fuel efficiency and reduce emissions.
ADAS are becoming increasingly common in new cars, and they are expected to become even more widespread in the future with far many advanced features which further enhance the safety