A SCALABLE APPROACH TO ADAS AND AUTONOMOUS DRIVING

the only feasible approach to delivering on feature-rich and unsupervised automation is to construct today’s supervised autonomous applications on an architecture that has potential to scale through the addition of technologies that will replace the supervisory role that human drivers play today

As authored by ABI Research, this introduction serves as a precursor to the comprehensive exploration of autonomous driving technology. In collaboration with leading industry experts in artificial intelligence, high-performance computing, mapping, and location intelligence, ABI Research presents a holistic view of the advancements shaping the automotive landscape.

The automotive industry stands at the forefront of innovation, with a concerted effort towards the development and deployment of autonomous driving systems. These systems encompass a wide range of applications, from assisting drivers in critical situations to completely eliminating the need for human intervention.

At the core of this transformation lie the principles of scalability and adaptability. By embracing a scalable approach, manufacturers can efficiently integrate evolving technologies to meet diverse market demands and regulatory standards. This approach ensures that advancements in active safety, semi-autonomous, and fully autonomous driving are seamlessly incorporated into vehicle designs, enhancing safety and mobility experiences for consumers.

In this report, ABI Research delves into the common technologies driving autonomous solutions forward, providing insights into market trends, strategic recommendations, and the future trajectory of the automotive industry. Through rigorous analysis and industry expertise, ABI Research aims to provide stakeholders with actionable insights to navigate the ever-evolving landscape of autonomous driving.