Control and manage data, Intel's unmanned core

Call? send email? eat? play games?

Unmanned hands free, giving you more time

Let you do this in the car too!

In the past, people thought that the concept of “unmanned driving” and “machine driver liberating human drivers” was far from satisfactory. However, Intel is letting such an idea fall.

When the era of driverlessness came, people not only liberated their hands and released huge economic potential, but also discussed whether humans should fully trust machines. This undoubtedly highlights the important relationship that can't be ignored between passengers and driverless cars.

Before passengers truly trust an unmanned car, they must have confidence in the basic way they interact with the vehicle. Intel is researching and developing prototypes for different human-machine interfaces and technologies to help OEMs and Tier 1 suppliers address these trust issues. The Intel® GOTM platform's Human Machine Interface (HMI) adapts to the preferences of different passengers and makes safe lane changes while creating a new set of traffic warnings to monitor the safety of drivers, passengers and pedestrians. Help passengers build trust, from “driver” to “passenger”. This is the first step in liberating your hands and the key technology that must be updated and upgraded in real time.

Intel's research on trust between passengers and driverless cars looks at ways to harness and manage data, while focusing on how to convey the most important information to passengers in the most efficient and concise manner, so that passengers feel safe and secure. Take control of the vehicle.

With the advent of the era of autonomous driving, drivers no longer need to concentrate on looking at the road with their eyes. In the face of emergencies, they do not need to make judgments and make decisions through the brain. The “machine driver” will import and update the collected massive data into the high-precision map in real time, and then make judgments through big data and machine learning. Therefore, the high-precision map can take all the road conditions to the "eye" and tell the specific location of the vehicle and the surrounding environment, how to plan the route to the destination.

The high-precision map is crucial for the navigation, positioning, path planning and control of unmanned vehicles, which directly affects the efficiency and safety of the vehicle. The high-precision map jointly developed by Intel and HERE is the key to real-time insight into road conditions and timely decision-making of unmanned vehicles.

In the future, a driverless car will generate 4 terabytes of data in 90 minutes. This data can help the car understand the surrounding environment and allow the vehicle to travel safely on complex roads. If no in-vehicle artificial intelligence uses machine vision and deep learning to analyze data in real time, it is difficult for a driverless car to get on the road easily. But such artificial intelligence loads typically consume a lot of power and are difficult to operate with limited power in the car. Therefore, if you can use lower power to support more powerful computing, you can use artificial intelligence more effectively to help the car make decisions.

Intel's development of OpenCL*-based DLA (Deep Learning Accelerator) can effectively solve this problem, reducing power consumption and overwriting calculations. In the field of driverless driving, Intel has adopted a hybrid architecture, including CPU, FPGA and future Mobileye-specific vision chip and visual computing, to fully utilize the characteristics of each chip to ensure the calculation effect, thus ensuring on an open and mixed platform. The realization of artificial intelligence in driverless driving, while ensuring the uniformity of performance and power consumption has been engineered.

If you want to use a pair of "invisible hands" to turn the steering wheel of an unmanned vehicle, the above three technologies are indispensable. They help people build a strong sense of trust in unmanned vehicles, freeing hands and saving time.