Product Attributes

Xilinx: Programmable logic devices help bring autonomous driving to reality

　　The automotive industry is being redefined with the rapid development of information and connectivity technologies. Self-driving technologies are enabling increasing levels of automation in cars, where computer vision is gradually transitioning to neural network AI, allowing us to optimize autonomous driving with programmable logic. In addition to the external environment of the car, there is a major trend towards enhanced internal monitoring, both of the driver and the passengers. The application of scalable technologies in this process can enable a huge shift in the industry, including the consequent transformation of transportation and service delivery, as well as nascent business models.

　　As the world’s leading provider of complete solutions for programmable logic, Xilinx has a wide range of products in the automotive sector, covering many different applications in the car. Recently, Xilinx launched two new products, ZU7EB7 and ZU7EB11, while taking autonomous driving technology to a new level. At the same press conference, Dan Isaacs, Director of Automotive Strategy and Customer Marketing at Xilinx, shared the features of Xilinx products, the advantages of FPGAs, and autonomous driving technology.

　　Integrating adaptive, scalability

　　In terms of background and experience, Xilinx has very deep experience in the automotive sector. From supplying 14 brands and 29 models in 2014, it has grown to 29 brands and 111 models in 2018. In autonomous driving, Xilinx products are present in many manufacturers’ products and platforms, including Baidu’s Apollo, BYD, Daimler, Magna, ZF, and Pony Smart. Dan Isaacs described Xilinx’ product devices as covering all possible customer needs from small to large, whether it is edge sensors or pre-controllers for centralized processing.

　　On the path of exploring autonomous driving technology, some traditional manufacturers tend to go for panoramic ring detectors first, moving from outside the car to inside the car, and then doing ADAS pre-controllers and so on. Internet technology companies like Baidu, tend to choose another non-traditional path and adopt the approach of doing centralized processing modules directly to achieve autonomous driving. At present, Xilinx’ products and solutions have covered all the elements in both paths. In LiDAR, for example, more than 30 companies are using Xilinx products and technologies.

　　Dan Isaacs said that the question of how to be safer is always on the minds of Xilinx. As the requirements for sensors continue to increase, so do the requirements for data processing, which requires that these systems and devices in the car are scalable. The functionality and technology of the Xilinx Autonomous Driving Central Module, both in terms of data integration and sensor fusion, demonstrates once again that Xilinx’s technology is very scalable, from very small devices to very large ones.

　　In addition, Xilinx products and chips are highly adaptive and can meet changing needs, whether they require more sensors or higher computing performance. For example, LIDAR, there are more than 50 LIDAR companies, and they all process data and collect data in different ways, so they want to be able to collect data in different ways. Dan Isaacs stressed that only a scalable and adaptive product can meet the constant iteration of products and technologies.