Several people die every year in road accidents. Over 90% of his traffic accidents are due to human factors (fatigue, drunk driving, phone use, etc.). This is why automakers are working to develop technologies that make road trips safer, smoother and more comfortable. This is precisely the concern of ADAS “advanced driver assistance systems”. Advanced driver assistance systems are technical features designed to increase safety when driving a vehicle. LogisFleet explains that when properly designed, these systems (also known as ADAS) use human-machine interfaces to improve a driver’s ability to respond to road hazards
Types of ADAS: –
- Passive ADAS systems: – In passive ADAS systems, the computer warns the driver of dangerous conditions regardless of the number and type of sensors used. Drivers must take steps to avoid accidents caused by this situation. Typical warning systems include sirens, flashing lights, and sometimes tactile inputs such as a vibrating steering wheel to alert the driver that the zone they are entering is already occupied by another vehicle (blind spot detection).
- Active ADAS systems: – Cars carry out active procedures on these ADAS systems. The vehicle itself can be activated to avoid worst-case scenarios. Automatic Emergency Braking (AEB) recognizes an imminent accident and applies the brakes without any action on the part of the driver. Features include Adaptive Cruise Control (ACC), Lane Keep Assist (LKA), Lane Centering (LC) and Traffic Jam Assist.
Components of ADAS: –
Five components will be a part of adas training: –
- Sensors: – Sensors are used to ensure that appropriate security measures are taken based on the specific circumstances. Therefore, multiple orthogonal and complementary sensors are used as part of ADAS, together providing information and redundancy, enhancing safety and improving driver performance. Standard sensor suites include ultrasound, LIDAR, RADAR technology, and visible cameras.
- Software: – Software is known as the backbone of hardware. The ADAS system is gaining efficiency and increasing acceptance through the use of digitalization technologies such as the cloud, mobility, deep learning, and artificial intelligence.
- Actuators: – Electrification of the vehicle’s powertrain is a key driver of ADAS. This allows the various ADAS systems to work seamlessly with the other electrical components of the vehicle.
- Processors: – In ADAS applications, processors are used for everything from building a real-time 3D spatial model of a car’s surroundings to computing proximity and threat based on the environment.
- Mapping Systems: – Geographic and infrastructure information is collected, stored and updated through sensors to determine the exact location of the vehicle. This information is stored and communicated to the control system even in the event of a GPS failure.
Technicians who wish to take this training must work in the automotive industry and must have relevant diagnostic experience to ensure they are familiar with the skills, knowledge and techniques required for efficient performance in adjusting the ADAS system. Upon completion of the training, vehicle technicians will be able to accurately identify and interpret information about a particular vehicle and its ADAS characteristics to determine the required calibration method.