Advanced Driver Assistance System (ADAS): A Step towards Innovation & Safety

Published By: IndustryARC Published On : 17-Mar-2016

Every year around 1 million accidents across the World are caused due to traffic accidents, most of which are fatal. This has generated the demand for active safety in automobiles along with existing passive safety components such as automatic seat belt and air bags. Active safety refers to the safety systems that assist the driver while driving the vehicle with technological support through various types of sensors and microcontrollers equipped applications. These driver assistance technologies help drivers in better driving experience by improving the driving procedure, monitoring the driver decisions and avoiding prompt mishaps.
Advanced Driver Assistance System has generated a platform for the evolution of the driverless vehicles. ADAS applications such as Active Cruise Control and Lane Departure Warning Systems take control of the vehicle’s speed and its surroundings. Autonomous Emergency Braking System (AEBS) and Forward Collision Mitigation System (FCMS) are the technologies that automatically apply the brakes of the vehicle based on the judgments made by the sensors in case of any imminent collision. The active safety systems suppliers and automobile manufacturers designed the architecture of the driverless vehicle by amalgamating all the driver assistance technologies. ADAS is witnessing remarkable growth across the world and according to a research conducted by Industry ARC; the market for ADAS is forecast to balloon to $78.26 Billion in 2020 from $27.26 billion in 2014 at a CAGR of 14.9%.

One of the major drivers of the Advanced Driver Assistance Systems (ADAS) Market is the innovation in technology that is occurring at a faster rate than the product life cycle of the automobiles. The car what we drive now will be totally different from the ones after 10 years , the introduction of advanced driver assistance systems will bring about safer and precise decisions in car driving by using radar, LIDAR and numerous types of sensors. These sensors are capable of detecting other cars and monitor the surrounding of the vehicle in motion. The flexibility in vehicle dynamics is permitting premium as well as standard segments of cars to deploy systems capable of making human machine interface more users friendly.

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