Advanced Driver Assistance System (ADAS) is a cutting-edge technology that helps drivers understand their surroundings and identify potential dangers safely.
ADAS enables the use of autonomous driving technology, such as high-resolution backup cameras, automatic emergency braking systems, Lidar-based sensors, and forward-collision warning systems, in cars and other vehicles.
Why ADAS is important?
Automated Driver Assistance Systems (ADAS) can minimize the number of accidents on the road due to human error. By providing additional information to the driver, each ADAS safety feature promotes safe driving habits. There are two types of ADAS features one that automates driving and the other that improves driver awareness.
How ADAS work?
Autonomous vehicles are paving the way for the next generation of mobile-connected devices. Autonomous application solutions divide into SoCs (systems on a chip) and interfaces, and high-performance ECUs connect sensors to actuators in these chips (electronic controller units).
Self-driving cars can get 360-degree vision, both close and far, using various sensors and cameras. That means that hardware designs are leveraging increasingly advanced process nodes to satisfy ever-increasing performance requirements while simultaneously reducing the demands on both power and footprint.
- Lane Keep Assist warns the driver and delivers a steering wheel "nudge" if they drift out of their lane.
- While reversing out of a parking area, it alerts the driver of incoming traffic
- Pedestrian detection/avoidance alerts the driver and applies the brakes when a pedestrian is detected on the road ahead of the car
- Collision avoidance detects when a vehicle ahed has slowed, and a collision is about to happen — may warn the driver and use the brakes to avoid a collision
- Adaptive cruise control keeps a specified distance from other cars. It can change speed and apply brakes as needed to maintain a set distance
- To improve nighttime visibility, adaptive headlights responds to the car's speed and the rotation of the steering wheel to follow the trajectory of the road
What are ADAS's challenges in India?
ADAS has several challenges in India. It will not work on every road in India because it requires a good road infrastructure. Lane markings are few or non-existent on the majority of local roads. Aside from roads and well-paved highways, Indian car buyers will be able to take full advantage of ADAS in the future as the country's road infrastructure continues to improve.
For ADAS to be functional in all situations, it must constantly learn and improve from real-time data. The lack of ADAS-equipped cars on Indian roads means insufficient data on road conditions, traffic patterns, and people's driving habits to make the necessary changes. A common problem in India is wandering stray animals on the highways, which is uncommon in developed nations. The ADAS computers will make better decisions as they collect more data over the time, thus enhancing efficiency.