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Automated driving in cities: Daimler and Bosch select Nvidia AI platform- Systems architectures for fully automated and driverless urban driving must be versatile, redundant, and fail-operational. - Bosch and Daimler machine-learning methods will generate vehicle-driving algorithms. - ECU network for automated urban driving handles hundreds of trillion operations per second. STUTTGART, Germany, July 10, 2018 /PRNewswire/ -- Automated vehicles are complex computers on wheels. And they need even more computing power if they are to negotiate city traffic automatically, with input sourced from an array of disparate surround sensors. In their alliance to put highly automated and driverless vehicles on urban streets, Bosch and Daimler have specified the computing power needed for their prospective system. The two companies have selected and signed an agreement with the U.S. AI computing company Nvidia as a supplier for the artificial intelligence (AI) platform they need. AI is an important building block in fully automated and driverless vehicles' network of several individual ECUs (Electronic control units). Under this contract, Nvidia will provide its Drive Pegasus platform powered by high performance AI automotive processors along with system software that will process the vehicle-driving algorithms generated by Bosch and Daimler using machine-learning methods. As a result, the ECU network will reach a computing capacity of hundreds of trillion operations per second. This is akin to the performance delivered by at least six synchronized, highly advanced deskside computer workstations. Bosch and Daimler will also be able to tap Nvidia's expertise to help develop the platform.
Sensor data processed within fractions of a second A versatile, redundant, and fail-operational systems architecture is needed to make automated driving in cities a reality. The performance bar for the networked ECUs is no lower, as navigating city traffic is a tremendous amount of work. This network handles all the information gathered and transmitted by disparate radar, video, lidar, and ultrasonic sensors. Just one video sensor, such as Bosch's stereo video camera, generates 100 gigabytes of data in just one kilometer. The ECU network combines data sourced from all the surround sensors in a process called sensor fusion. Within fractions of a second, it assesses this information and plans the trajectory of the vehicle. This is as fast as the sensation of touch that needs between 20 and 500 milliseconds to reach the human brain. Bosch and Daimler bring many years of experience to the development of functional safety systems. To achieve maximum safety and reliability, the necessary computing operations are done by a number of circuits in parallel. In the unlikely event of a malfunction, the results of these parallel calculations can be accessed in a flash. ECU network to be integrated into battery cells' cooling circuit The high computing capacity and the huge number of operations to be performed mean that the ECU network needs to be cooled. Bosch and Daimler developed an efficient concept basd on liquid cooling. In this jointly developed system for highly automated and driverless driving in cities, Mercedes-Benz intends to deploy battery-powered vehicles. These cars have a cooling system on board, so engineers can make the most of this legacy technology by integrating the ECU network into the battery cells' advanced cooling circuit. Bosch and Daimler staff working side by side In April 2017, Bosch and Daimler announced they would be joining forces in an effort to put highly automated and driverless vehicles on city streets. This alliance is developing a driving system for use in vehicles that will be able to maneuver through city traffic driverlessly. The technology is to be ramped up for mass production by the beginning of the next decade. Bosch and Daimler are working together in the greater Stuttgart area and in Silicon Valley. The two companies' personnel are co-located, working practically at adjacent desks. This allows them to quickly and efficiently share information across disciplines and to make decisions fast. Daimler at a glance The company's focus therefore remains on innovative and green technologies as well as on safe and superior vehicles that both captivate and inspire. Daimler continues to invest systematically in the development of efficient powertrains – from high-tech combustion engines and hybrid vehicles to all-electric powertrains with battery or fuel cell – with the goal of making locally emission-free driving possible in the long term. The company's efforts are also focused on the intelligent connectivity of its vehicles, autonomous driving and new mobility concepts. This is just one example of how Daimler willingly accepts the challenge of meeting its responsibility towards society and the environment. Daimler sells its vehicles and services in nearly every country of the world and has production facilities in Europe, North and South America, Asia and Africa. In addition to Mercedes-Benz, the world's most valuable premium automotive brand (source: Interbrand study "The Anatomy of Growth", 5.10.2016), and Mercedes-AMG, Mercedes-Maybach and Mercedes me, its brand portfolio includes the brands smart, EQ, Freightliner, Western Star, BharatBenz, FUSO, Setra and Thomas Built Buses as well as the brands of Daimler Financial Services: Mercedes-Benz Bank, Mercedes-Benz Financial Services, Daimler Truck Financial, moovel, car2go and mytaxi. The company is listed on the Frankfurt and Stuttgart stock exchanges (ticker symbol DAI). In 2017, the Group had a workforce of more than 289,300 and sold around 3.3 million vehicles. Revenues totalled 164.3 billion euros and EBIT stood at 14.7 billion euros. About CASE: Mercedes-Benz Cars already plays a leading role in all four areas today. For example, all activities in the area of connectivity are focused on the digital brand Mercedes me, which gives customers access to an extensive and personalised range of services by app, website or straight from their car. On the way to autonomous driving, Mercedes-Benz has for years been a key driver of development and has repeatedly set the benchmark. To this end, the Mercedes engineers use what is known as sensor fusion. The data from different sensors, such as cameras, ultrasound and radar, are intelligently combined and analysed. With smart vision EQ fortwo, the smart brand is also demonstrating what driving without a steering wheel could look like in the future of carsharing. The inventor of the car is already playing a leading role in the field of Sharing & Services. The mobility services used by over 18 million people range from free-floating carsharing (car2go), through ride-hailing (mytaxi) to the mobility platform (moovel). Mercedes-Benz is pursuing a holistic approach to powertrain electrification. Apart from the EQ brand with a family of vehicles, Mercedes-Benz is also developing a holistic ecosystem, which, alongside the vehicle itself, also comprises a comprehensive electric mobility offering. This extends from intelligent services and energy storage units to charging technologies and sustainable recycling. On the road to emission-free driving Daimler is systematically pursuing a three-lane drive system strategy in order to implement maximum environmental compatibility across all vehicle classes (incl. commercial vehicles, vans) – with an intelligent mix of the latest combustion engines and partial electrification through 48-volt technology, tailor-made EQ Power plug-in hybrids and electric vehicles with battery or fuel cell drive systems.
SOURCE Mercedes-Benz 
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