2. CONTENTS
• Introduction
• History
• Types of ADAS
• Levels of ADAS
• Components
• Working
• Application
• Advantages
• Disadvantages
• Reference
• Conclusion
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3. INTRODUCTION
• Advanced driver assistance systems (ADAS) can be defined as digital
technologies that help drivers in routine navigation and parking without
fully automating the entire process but instead leveraging computer
networks to enable more data-driven and safer driving experiences.
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4. HISTORY
• ADAS were first being used in the 1950s with the adoption of the anti-
lock braking system.
• The evolution of ADAS emerged and started with a
gentleman called Ralph Teetor. He invented the modern cruise control,
originally known as Speedo stat.
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5. TYPES OF ADAS
• Passive ADAS systems
In a passive ADAS system, the computer alerts the driver to a
dangerous circumstance despite the number or kind of sensors
deployed.
warning systems are : sirens, flashing lights and in some cases tactile
input, such as a steering wheel that vibrates to alert the driver
• Active ADAS systems
The vehicle can take action on its own. Automatic emergency braking
(AEB) detects an impending accident and applies the brakes without the
driver’s assistance. Functional features include adaptive cruise control
(ACC), lane-keeping assist (LKA), lane centering (LC), and traffic jam
assist. 5
7. COMPONENTS
• Software
• Actuators
This allows various ADAS systems to function smoothly with other
electrical components in the vehicle
• Processors
processors are used for everything from building a real time 3D
spatial model of a car’s surroundings to calculating proximity and threat
levels based on the environment.
• Mapping systems
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8. SENSORS
CAMERA SENSOR
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camera is an automotive camera sensor that
collects data to assist drivers in performing
certain tasks, such as lane-keeping
9. 9
RADAR (Radio Detection and Ranging) sensors are
used in ADAS-equipped vehicles for detecting large
objects in front of the vehicle
10. ULTRASONIC SENSOR
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Ultrasonic sensing is usually used for short-
distance applications at low speeds, such as
park assist, self-parking, and blind-spot
detection.
14. APPLICATION
• Adaptive Cruise Control
• Glare-Free High Beam and Pixel Light
• Adaptive Light Control
• Automatic Parking
• Navigation System
• Night Vision
• Unseen Area Monitoring
• Automatic Emergency Braking
• Etc.
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15. ADVANTAGES
• To avoid accidents
• It makes driving more comfortable and easy
• It improve vehicle safety
• It helps the diver to move the vehicle from blind spot and lane
departures
• Maintaining a safe distance and controlling speeding
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16. DISADVANTAGES
• Costly
• It may not work correctly all the time
• It can be hack
• The sensors may mistake a car in the next lane for an oncoming vehicle
and apply the automatic emergency braking when drivers are on an on-
ramp
• Many drivers using ADAS will use their phone, eat and drink or simply
daydream, thinking that they are protected
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18. CONCLUSION
• ADAS offers the technology and ability to reduce driver error and as
such, accidents
• Basically Advanced driver assists systems (ADAS) helps the driver in the
driving process and enables safe, relaxed driving
• The strength of ADAS is great, provided ADAS is completely accepted
and widely introduced in the future
• Life-saving systems like ADAS define the true success of AI applications.
They not only incorporate the latest interface standards but also run
multiple computer- vision based algorithms to support real-time
multimedia. The right architecture of sensors, interfaces, and a powerful
computer processor integrates all of the data and makes decisions out of
it in real-time. 18
