Mercedes-Benz & Bosch to Self-drive in CA

Bosch and Daimler are speeding up the development of fully-automated and driverless driving (SAE Level 4/5) in the city and are decisively setting the course. The partners have chosen California as the pilot location for the first test fleet. In the second half of 2019, Bosch and Daimler will offer customers a shuttle service with automated vehicles on selected routes in a Californian metropolis. Daimler Mobility Services is envisaged as the operator of this test fleet and the app-based mobility service. The pilot project will demonstrate how mobility services such as car sharing (car2go), ride-hailing (mytaxi) and multi-modal platforms (moovel) can be intelligently connected to shape the future of mobility. In addition, the partners have decided on the US technology company Nvidia as the supplier of the artificial intelligence platform as part of their control unit network.

The pricing for such services such as robo-taxis could be pretty cheap the photo provided shows a price of 19-cents per minute for the robo-taxis which is  bargain because Bird scooter cost $1.00 plus 15-cents a minute.

For the joint development of a driving system for fully-automated and driverless vehicles, Bosch and Daimler rely on their automotive expertise accumulated over many decades to bring mature and safe innovations to market. Both companies are guided by a shared philosophy: “The decisive factor is to introduce a safe, dependable and mature system,” says Dr Michael Hafner, Head of Automated Driving at Daimler AG. “Safety has the highest priority, and is the constant theme of all aspects and development stages on our way to the start of series production. If in doubt, thoroughness comes before speed.”

“Developing automated driving to a level ready for series production is like a decathlon”, according to Dr Stephan Hönle, Senior Vice President Business Unit Automated Driving at Robert Bosch GmbH. “It’s not enough to be good in one or two areas. Like us, you have to master all disciplines. Only then will we succeed in bringing automated driving to the roads and the city safely.”

Evaluation of sensor data within milliseconds

A decisive factor for fully-automated and driverless driving in an urban environment is the reliable recognition of the vehicle’s surroundings with the aid of various sensors. Analysing and interpreting the variety of incoming data and translating them into driving commands within a very short time requires enormous computing power – the fully-automated, driverless vehicle will be a mobile super-computer. At the same time, fully-automated, driverless driving in the city requires a versatile, redundant systems architecture and the highest level of functional safety. To achieve this level of safety, the necessary computing operations are performed in parallel in different circuits. This means that the system has instant recourse to these parallel computing results when necessary.

For their driving system, Bosch and Daimler thus rely on a control unit network made up of several individual control units. The US technology company Nvidia supplies the platform required for this, which can run the Artificial Intelligence (AI) algorithms generated by Bosch and Daimler for the vehicle’s movement. The network of control units collates the data from all sensors with radar, video, lidar and ultrasound technology (sensor data fusion), evaluates them within milliseconds and plans the movements of the vehicle. All in all, the control unit network has a computing capacity of hundreds of trillion operations per second. That’s as much as several S‑Class vehicles together could reach just a few years ago.

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 based 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.

Metropolis in California will be a pilot city for automated test fleet

The control unit network will also be used in the fleet vehicles which Daimler and Bosch will put on the roads of California in the second half of 2019. Not only that: Both partners will offer customers an automated shuttle service on select routes in a city located in the San Francisco Bay in Silicon Valley. The test operation will provide information about how fully-automated and driverless vehicles can be integrated into a multi-modal transport network. Many cities face numerous challenges that are increasingly burdening the existing transport system. The test is to show how this new technology might be a solution to these challenges.

Driverless driving makes urban mobility more attractive

With their development cooperation on fully-automated and driverless driving in urban environments which began in April 2017, Bosch and Daimler aim to improve the flow of traffic in cities, enhance safety on the road and provide an important building block for the way traffic will work in the future. The technology will, among other things, boost the attraction of car sharing. In addition, it will allow people to make the best possible use of their time in the vehicle, and open up new mobility opportunities for people without a driver’s licence, for example.

The vehicle comes to the driver, not the driver to the vehicle. Within a defined city area, users can conveniently order a car-sharing car or a vehicle that drives by without a driver. The project especially combines the overall vehicle and mobility expertise of one of the world’s leading premium manufacturer with the systems and hardware expertise of one of the world’s largest suppliers. The ensuing synergies’ purpose is to introduce the new technology early and fully validated.

Bosch and Daimler employees share the same office space

Bosch and Daimler employees work together in teams in two regions: In the greater Stuttgart area in Germany and around Sunnyvale in Silicon Valley to the south of San Francisco in the USA. Employees from both companies share the same office space. This ensures rapid communication across working disciplines and short decision-making paths. At the same time they have access to the entire know-how of the colleagues in the mother companies. The partners are equally financing the development work.

The personnel in this cooperation are jointly developing the concepts and algorithms for the fully-automated, driverless drive system. Daimler’s task is to bring the drive system into the car. To this end, the company is providing the necessary development vehicles, test facilities and later the vehicles for the test fleet. Bosch is responsible for the components (sensors, actuators and control units) specified during the development work. For test purposes the partners use their laboratories and test rigs, plus their respective test sites in Immendingen and Boxberg. Furthermore, since 2014 Mercedes-Benz has approval to test automated vehicles in the Sunnyvale/California region. The company also has comparable approval for the Sindelfingen/Böblingen region since 2016. Bosch was the world’s first automotive supplier to test automated driving on public roads in Germany and in the US in early 2013.

US technology company Nvidia supplies the platform for AI algorithms from Bosch and Daimler
CASE – these letters are shaping the future of mobility. They stand for the fields of networking (Connected), autonomous driving (Autonomous), flexible use (Shared & Services) and electric drive systems (Electric). The four CASE fields are an integral part of the corporate strategy of Daimler AG. The aim is to shape intuitive mobility for our customers through intelligent dovetailing of the CASE topics.