As a transition technology for cars to upgrade from traditional function cars to smart cars, ADAS has been widely used in mass-produced cars in the past two years with the rapid development of automotive electronics, as well as the continuous improvement of relevant safety standards and consumer demands, and has become a more and more advanced technology. More and more new cars are "standard". Driven by factors such as the low cost of cameras and the maturity of image processing technology, the current market standard rate of front-end camera systems and 360° panoramic imaging systems is relatively high.
Systems such as front-end cameras can provide the following functions:
LKW = Lane Keeping Reminder
LKA = Lane Keeping Assist
AEB = automatic emergency braking
TSR = Traffic Sign Recognition
Panoramic view provides the following features:
Automatic Park Assist
Trailer angle detection
object detection
Xilinx offers a wide variety of products, including pure FPGA products and/or SoC (ARM core + FPGA) products. These products offer unique flexibility to provide solutions for front-end cameras, panoramic cameras, and more. System requirements vary across generations, and innovation continues to advance. Therefore, chip solutions need to adapt to changing requirements. FPGA technology enables system designers to create their own hardware accelerators or AI engines to increase processing efficiency. In many cases, just having a high-performance CPU is not enough, hardware accelerators are also needed to offload the work of the CPU, reducing the software required to implement the functionality.
FPGAs Provide More Flexibility in Autonomous Driving Development
Currently in the "trial and error" stage of autonomous driving development, the update iteration cycle of the algorithm is very short, which gives FPGA more market opportunities. Taking ADAS alarm as an example, ADAS system reminder is passive, but it may also be active. Reducing the "false positive rate" is primarily an issue to be addressed at the system level. Increasing the number of sensors and improving sensor fusion all help to ensure that the false positive rate is reduced. Xilinx technology offers system developers the following advantages.
DAPD = Data Aggregation, Preprocessing and Distribution, the sensing elements are constantly changing in many systems. For example, the resolution of the imager is changing, or the camera and radar data need to be fused. Using FPGA technology, it can not only adapt to different requirements, but also create an appropriate interface to meet the configuration requirements.
OTA chip technology is another unique feature. Many ECUs feature over-the-air (OTA) updates, so the software running on the SoC can be upgraded via network deployment. In the case of Xilinx, we can update the software, and we can update the hardware configuration. Software updates are usually limited by hardware configuration, but for us, we can change both. This means we can provide system designers with greater flexibility.
The challenges facing the semiconductor industry are often scale-related. As the volume increases, the cost will drop significantly. Autonomous driving test vehicles are usually in fleet operation mode, and the number of vehicles in the fleet varies, usually in the hundreds. The passenger car and truck market size is around 100 million units per year. On an annualized basis, we can see that the fleet of autonomous test vehicles is very small relative to the overall automotive market. In addition, engineering development costs are very high, and they have to be diluted to a very small number of products, which leads to a significant increase in perceived cost. Xilinx technology can help because we can avoid duplicating “reengineering†of existing base technology.
Xilinx SoC devices are being used in applications such as lidar, 4D radar, panoramic cameras, and front-end cameras. Instead of having a different SoC for each system, you can just use Xilinx technology to support all systems, which increases the size and therefore lowers the price. What's more, you can also reuse software frameworks for multi-application ECUs, reducing engineering development costs.
We have certified our most recent MPSOC to ASIL C to assist system designers. We will continue to support the market demand for functional safety. The key is that system designers must meet the difficult challenge of developing systems that support both "failure-in-failure mode" and "half-failure, half-normal mode." That is, the design needs to be robust enough that even if the system fails, there is enough redundancy to continue to perform a limited function, to allow the vehicle to enter a safe parking spot, or to continue to operate with a limited function.
Another key point is that we will see the proliferation of commercial fleet implementations, which are limited in size, and then we will see widespread adoption by the average consumer in the market. Commercial deployments are test beds that help developers gather data, improve functionality, and build consumer buyer confidence.
The innovative direction of future autonomous driving
Driverless cars are already here and are being deployed in small fleets for the car-sharing and delivery industries. The question is when will the price of driverless cars drop to levels acceptable to the average consumer. It's hard to predict, but it should happen after 2025. The related products have to proceed from the purely external sensing capability and continue to develop to improve the in-vehicle sensing capability. A series of industrial, technological and ecological changes and innovations have just begun around the hotspots of autonomous driving. New features should be created to meet the following requirements:
Reminder left items, in the car-sharing use case, it can identify items such as sunglasses, mobile phones, umbrellas, etc., to ensure that you will not be left in the car when you get off.
Optimized airbag deployment: The seat and direction of the passenger ride are no longer fixed. The cameras need to determine the best way to deploy the airbags to keep passengers safe.
The new user interface helps passengers interact with the vehicle, telling them where to go and how to use the entertainment system.
Innovation will not only continue to advance the development of driverless capabilities, but will also improve the interaction between driverless cars and passengers.
Continue to invest in the Chinese market
The Chinese market, one of the largest in the auto industry, is also advancing the evolution of vehicles from combustion engines to electrification. Electrification and autonomous driving technology will be the two major trends. Xilinx will continue to invest in the Chinese market to promote market integration and development. One example of this is our acquisition of DeePhi Tech, an AI technology startup based in Beijing, China.
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