Advanced driver assistance systems (ADAS)
Driving is a necessity for billions of people around the world. However, the roads can be a dangerous place, and much of that danger is the result of human error in operating personal and commercial vehicles. How can we make smarter vehicles and create safer roadways to prevent many of these tragic road accidents?
Advanced driver assistance systems (ADAS) seek to automate, adapt and enhance vehicle systems for safer and better driving. These automotive safety features are designed to avoid collisions and accidents by offering technologies that alert the driver to potential problems by implementing safeguards and taking over control of the vehicle. Adaptive features can automate lighting, provide adaptive cruise control and collision avoidance, incorporate satnav/traffic warnings, connect to smartphones, alert drivers to other cars or dangers, signal lane departure warnings and much more.
Due to the wide range of built-in and aftermarket ADAS possibilities, there’s an equally broad range of technologies required to put these systems in our vehicles. ADAS rely on inputs from multiple data sources, including automotive imaging, LiDAR, radar, image processing, computer vision and in-car networking. Additional inputs are also possible from other sources separate from the primary vehicle platform, such as other vehicles, referred to as vehicle-to-vehicle (V2V), or vehicle-to-infrastructure (such as mobile telephony or Wi-Fi data network) systems.
Advanced driver assistance systems are one of the fastest growing technologies in automotive electronics, with steadily increasing rates of adoption of industry-wide quality standards. In the age of the Internet of Things (IoT), we expect to see vast growth in this segment of the transportation industry. Learn how you can leverage Avnet’s ecosystem to bring the cutting edge of this technology to your customers.
