NVIDIA launched the world's first commercial Level 2 + AutoPilot system DRIVE AutoPilot

ContinentalwithZFAnnounced toNVIDIA DRIVEOn the basis ofL2 +The solution

Will be in2020In mass production

NVIDIA (huida) today announced the world's first commercial Level 2 + autopilot systemNVIDIA DRIVE ™ AutoPilot, the integration of multiple breakthrough AI technology, will lead to supervised learning of self-drive start production next year.

Self-drive leading supplier of Continental and government this year in the United States consumer electronics show (CES) announced that on the basis of the NVIDIA DRIVE Level 2 + autonomous solutions will start mass production in 2020.

NVIDIA DRIVE AutoPilot as Level 2 + autonomous solutions, exclusive to provide world-class autonomous perception and cockpit environment into many AI function.Depot can through this solution to market a variety of precision automated driving function, as well as the wisdom cockpit auxiliary and visual ability, in its performance, function and road safety is far beyond the current ADAS scheme.

NVIDIA autonomous machine department vice President Rob Csongor said: "a complete Level 2 + operation efficiency and precision of the software system needs to be far more than the current commercially available models carrying system. Due to the NVIDIA DRIVE AutoPilot with these elements, not only can let the depot Rob in the rapid deployment of advanced automated driving 2020 solution, and to upgrade to higher Level of the solution to accelerate AutoPilot."

DRIVE AutoPilot for the first time integration of high-performance NVIDIA Xavier ™ system single chip (SoC) processor, and the latest NVIDIA DRIVE software that can handle many used in the depth of the cognitive function neural network (within DNN), by surrounding the body of the camera capture external sensor data, and the inside of the cockpit, to create a complete automatic driving ability, including rotary cut highway lanes, change lanes and sewing and establishing personalized map.Driver's cabin features include driver monitoring, AI the co-pilot function and advanced onboard computer vision system of cockpit visual.

DRIVE AutoPilot for NVIDIA DRIVE platform of open and high elastic part of the world for hundreds of companies using this platform to build many self-drive solutions, so as to improve road safety, and at the same time in a long distance driving under the stop-and-go traffic to reduce driver fatigue and pressure.A whole new Level 2 + system to further improve the NVIDIA DRIVE AGX Pegasus system, its designed for unmanned taxi provides Level 5 functions.

DRIVE AutoPilot breakthrough the limit of existing Level 2 grade ADAS system, the Insurance Institute for Highway Safety (Insurance Institute for Highway Safety.IIHS), a recent study shows incoherent vehicle detection and the detours or ramp up and down the car is unable to keep the car in the driveway, cause frequent system from (disengagements), forcing drivers must take over control of emergency(1).

ABI Research, vice President of automotive Research, Dominique Bonte, said: "today the lane keep on market and adaptive cruise control system can't satisfy consumer expectations. NVIDIA's highly efficient AI solution will be in the near future to provide more effective active safety systems, and the autopilot system more reliable."

Xavier SoCPer second:30The processing capacity of one million operations

NVIDIA DRIVE the core of the AutoPilot for Xavier SoC, the single chip system provides the processing capacity of 30 million calculations per second.Designed for safety Xavier in redundancy and diversity ('m) design concept, it contains 6 different types of processors and 9 billion transistors, can make the real-time processing large data.

Xavier into the world's first level of self-driving car processor, has started to mass production.The world many safety professional manufacturersEvaluated with its architecture and development to build a safe product is suitable for application.

All over the inside and outsideAI

DRIVE the AutoPilot software stack integrated DRIVE the AV software to cope with all sorts of challenges outside the car, and DRIVE IX software to perform various tasks in the vehicle.

DRIVE the AV use around the body sensors to build 360 degrees, no dead Angle perception and has high precision in localization and path planning function.These Settings can let the vehicle on the highway from the ramp to the off-ramp, drive for supervised learning.In addition to the basic adaptive cruise control, lane keeping and automatic emergency braking, its environmental awareness can cope with drill state such as cutting, sewing or lanes and safety switch lanes.

In addition, DRIVE the AV also contains advanced technology within DNN diversity and redundancy, the vehicle type can perceive many objects and the driving situation, the depth of neural networks including DriveNet, SignNet, LaneNet, OpenRoadNet and WaitNet.The precision of the AI software can know the location of the other vehicles, read the lane marks, detect pedestrians and bicycles, distinguish road traffic lights and colors, identify and understand all kinds of complicated situations.

In addition to providing accurate global high resolution map outside the localized to the vehicle positioning, DRIVE AutoPilot also provides new personalized "My Route map function, not only can remember you ever driven a Route, even in the absence of a high resolution map in the future can also DRIVE path according to the previous planning.

Inside the vehicle, the wisdom of the DRIVE IX experience software can monitor detects whether driving through driving crew distraction or drowsy, and issued a warning or take corrective action when necessary.In addition, it also can be used to build intelligent user experience, including the new functions of the augmented reality, display vehicle virtual scene as sensor to the surrounding environment and route planning, to enhance consumer confidence in the system.

In view of the vehicle for the next generation of user experience, DRIVE IX AI function is also used to accelerate the natural language processing, eye tracking and gesture recognition.

Gained widespread industry leading companies

Continental is to develop an extensible architecture and parity automatic driving, let the Premium Assist to the future, all kinds of automation function.The adoption of Continental radar, lidar, camera, and driven by NVIDIA DRIVE autopilot Control Unit (Automated Driving Control Unit;ADCU) technology.

Continental advanced driver assistance systems division director Karl Haupt said: "the use of advanced auxiliary driving system make the driving experience will jump to a new level, the seamless transfer from auxiliary driving to the autopilot, and define a new standard. The drive is going to be a pleasant journey, driving, though still has the responsibility of driving, but only responsible for the supervision, thus become relaxed and comfortable driving."

ZF ProAI provide unique concept and an open software architecture, modularization hardware with NVIDIA DRIVE Xavier processor and DRIVE software.

ZF senior project manager and ZF Zukunft Ventures GmbH, managing Torsten Gollewski said: "our goal is to provide a wide range of functions in the field of automatic driving, ZF ProAI product series for the customization software provides an open platform, let the customer can put the traditional functions and at NVIDIA DRIVE algorithm and software running on the AI one."

NVIDIA DRIVE AutoPilot on January 8th to 11th in CES electronics show, in the Las Vegas convention center, 6306 north pavilion NVIDIA stalls on display.

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aboutNVIDIA (huida)

NVIDIA (huida) since 1999 invention of GPU, further growth of the PC market of e-sports and redefine modern computer display card products, computer parallel computing revolution.GPU depth study in recent years has contributed to be regarded as the next operation in the age of artificial intelligence, through the GPU to class the brain operate in computer, such as the robot and the driving, to perceive and interpret the real world.For more information, please visithttp://nvidianews.nvidia.com/.

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