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. Essential safety-critical ADAS applications include: Pedestrian detection/avoidanceLane departure warning/correctionTraffic sign recognitionAutomatic emergency brakingBlind spot detectionThese lifesaving systems are key to the success of ADAS applications. They incorporate the latest interface standards and run multiple vision-based algorithms to support real-time multimedia, vision coprocessing, and sensor fusion subsystems. The moderinization of ADAS applications is the first steps toward realizing autonomous vehicles. How does ADAS work?Automobiles are the foundation of the next generation of mobile-connected devices, with rapid advances being made in autonomous vehicles. Autonomous application solutions are partitioned into various chips, called systems on a chip (SoCs). These chips connect sensors to actuators through interfaces and high-performance electronic controller units (ECUs).Self-driving cars use a variety of these applications and technologies to gain 360-degree vision, both near (in the vehicles immediate vicinity) and far. That means hardware designs are using more advanced process nodes to meet ever-higher performance targets while simultaneously reducing demands on power and footprint.
