NVIDIA has released a new member of the Drive PX family of autopilot computing platforms at its eco-conference GTC Eurpoe, code-named "Pegasus." "Pegasus" is expected to be available to NVIDIA's autonomous driving R&D partners from the second quarter of 2018. Let's take a look at the related content with the car electronics editor.
"Pegasus" has a computing power of 320 TOPS (Trillion OperaTIons Per Second), which is 10 times faster than its predecessor platform "Drive PX 2". This computing power comes mainly from 4 processors - 2 SoC "Xavier" based on NVIDIA's latest GPU architecture "Volta", and 2 dedicated GPUs for automotive mechanical vision and deep learning.
Full self-driving platform requires high computing power and a large number of I/O
According to NVIDIA, future services such as Robotaxi require high-speed processing of high-resolution and 360-degree information from cameras and Lidar sensors to accurately locate vehicles and analyze surrounding cars and pedestrians. Behavior, and planning safe and comfortable driving paths. The computing power required to perform the above work will be 50 to 100 times that of the most advanced vehicle computing power on the market. From this point of view, there is currently no autopilot computing platform on the market that can afford such a huge computing demand, which is also the niche of "Pegasus".
In order to concentrate the information collected by various types of sensors, the "Pegasus" I/O interface includes 16 sets of corresponding radars, cameras, opticals, etc. in addition to the CAN, Flexray and vehicle Ethernet interfaces necessary for automotive computers. The sensor input connector has a total memory bandwidth of 1 TB.
In addition to highlighting the significant increase in computing power, NVIDIA also emphasized in this presentation that "Pegasus" will continue to meet the "ASIL-D" level of the automotive electronic functional safety ISO 26262 standard.
Compliance with automotive electronic functional safety standards means the introduction of product development and verification methods in the field of automotive electronics, and the inclusion of multiple redundant designs in the design to ensure that the system can operate normally, thus ensuring the safety of vehicles and passengers.
A large number of partners support Drive PX
In addition to emphasizing the superiority of hardware, NVIDIA has demonstrated its in-depth cooperation with the autopilot industry ecosystem in the "Pegasus" publication.
According to NVIDIA data, NVIDIA has 225 autopilot system developers using the Drive PX platform, including 25 companies such as Zoox, OpTImus Ride, Tucson Future, yadex, and Nutonomy. , to prove the value of "Pegasus" for unmanned transportation.
In addition, NVIDIA also announced that it will jointly build an unmanned logistics fleet with the logistics company DHL and the automobile system manufacturer ZF (ZF) from 2018. ZF's driverless system "Pro AI" will be based on Drive PX, while DHL is currently using NVIDIA's DGX-1 supercomputer in its data center for vehicle neural network training. The model was ported to the Drive PX system on the DHL fleet.
So far, heavy-duty automotive electronics companies including Autoliv, BOSCH, Delphi, Hella, Tesla, and ZD have publicly launched autonomous driving computer based on the NVIDIA Drive PX platform.
In addition to actively providing hardware public version for testing, NVIDIA also released a new software development kit "Drive IX SDK" in the "Pegasus" release. It is expected to be released in the fourth quarter of 2017. Will be able to help developers use the Drive PX platform to develop driver/passenger facial recognition, driving distraction detection, automatic adjustment of in-vehicle equipment (such as seat, lighting, pedal tightening, etc.), bicycle detection around the car, etc. More detailed functions to complement other functions required for autonomous driving.
SAE level 5 self-driving still has a long way to go
Although the Pegasus platform released by NVIDIA claims to be ten times the computing power of the previous generation, the technology required for the specific hardware and software of the fully automatic driving system is still unclear, and the mass production of the equipment is now correct. Therefore, the Pegasus platform is sufficient. Support for the calculus required for SAE Level 5 fully automated driving needs to be considered.
At present, the driver assistance system that can be operated commercially is mostly claimed to reach SAE Level 2. AUDI's latest A8 model also claims only its driver assistance system up to SAE Level 3. Even considering that each car manufacturer may deliberately underestimate the ability of its driver assistance system due to violation of current regulations, according to the MIC, there is still considerable time for each car manufacturer and system plant to develop an autopilot system capable of SAE Level 5.
For example, the technology for providing unmanned vehicles from other vehicles and roadside equipment (such as traffic signs) via 5G communication is still in the specification period, and there is still considerable time for the related software and hardware to be commercialized. It is naturally difficult to judge the future. How much computing resources the unmanned vehicle needs to use in the 5G communication part. In the development of unmanned vehicles, there are still many cases in which the above technologies are not yet in place. In fact, it will be difficult for the industry to estimate the software and hardware requirements for unmanned vehicles.
Automated driving computing platform comes out NVIDIA consolidates self-driving ecosystem
Unmanned vehicles will be the first to implement in mass transit
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