Automated mobility

Automated mobility

Bosch is teaching the vehicle how to drive

Safe and on the street

From climate change and greater road safety to the lack of time and space, the challenges of mobility will not solve themselves. However, self-driving vehicles can be an important part of the solution. Automation is one of the main drivers of a new, safe era of mobility. With its innovative driver assistance systems, Bosch is therefore gradually paving the way to automated driving and parking. Many of the technologies that will shape the automated driving of the future are ready for you to experience today. They have been tested and are ready for series production.

Future-ready and volume-produced

In addition to the technical requirements, the development and acceptance of automated mobility depend above all on one thing: your trust. Bosch is working hard on both factors. That is because in order for autonomous driving to work, your vehicle needs to not just match your own abilities, but far exceed them. We categorize these areas of ability using the terms Sense, Think, and Act, which are similar to a human being.
Bosch is driving automated mobility in all disciplines, for nearly all vehicle

segments, and in almost all fields of technology, with a high degree of responsibility and many years of experience. As a result, many technologies are ready for highly automated driving today. And that is not just in theory: they have been developed and tested under real conditions and are now ready for series production. This gives users reliability in terms of the driving itself, new Euro NCAP (European New Car Assessment Programme) regulations, or availability and planning.

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Milestones

on the road to automated mobility

It has been over 30 years since Bosch laid the foundation for safe automated driving. Between 1987 and 1995, the European research project PROMETHEUS (Programme for European Traffic with Highest Efficiency and Unprecedented Safety) investigated automated mobility as a solution for global transport safety. This was followed by countless innovations in driver assistance systems that made driving safer and more relaxed.

1978

Bosch launches the world’s first antilock braking system (ABS) ready for series production, revolutionizing transport safety. It marks the starting point for the development of new vehicle safety systems that are relevant for automated mobility.

1989

Bosch launches the TravelPilot: Europe’s first volume-produced navigation system. Without support for GPS, the system relied on a digitally stored map.

1995

Bosch is the first company in the world to begin series production of the electronic stability program (ESP®). The electronic anti-skid system is the most important safety feature in the car after the seatbelt. Today, the ESP® is essential for performing many automated driving maneuvers.

2000

Bosch takes a big step toward automated driving with the presentation of the radar-based adaptive cruise control. The system is capable of automatically adjusting speed and preventing rear-impact collisions, while ensuring greater comfort in stop-and-go traffic. In the following years Bosch developed multiple driver assistance functions, for instance the ultrasonic-based side view assist, the automatic emergency braking, as well as automated parking functions.

Since 2011

The first Bosch project team begins working intensively on automated driving. Bosch is the first automotive supplier in the world to test automated driving on public roads. Bosch developers have been driving test vehicles on highways in Germany and America since the start of 2013.

2017

Bosch begins collaboration with Daimler to develop driverless and fully automated driving in urban environments. The aim is to develop a series-ready driving system for autonomous urban transport.

2018

Bosch takes another step toward automated mobility in series production with the highway assist . The technology enables safe partially automated driving, both on straight road sections and in corners.

2019

Bosch’s automated valet parking , a fully autonomous parking garage infrastructure, is the world’s first driverless function to obtain approval from German authorities.

Today, over 2,800 developers are currently working on automated driving and parking. Their vision: accident-free mobility.

hotspot

SAE-L 1: Driver assistance systems

A driver assistance system performs either sustained longitudinal or lateral vehicle motion control in defined use cases to support the driver. The driver has to permanently monitor the system and be capable of taking corrective action immediately and at any time, if a system failure occurs.

SAE-L 2: Partially automated driving

The system performs both sustained longitudinal and lateral vehicle motion control in defined use cases in order to support the driver. The driver has to permanently monitor the system and be capable of taking corrective action immediately and at any time, if a system failure occurs.

SAE-L 3: Conditionally automated driving

The system performs the complete driving task in defined use cases. When the system requests the driver to intervene, the driver must be capable of taking over control of the vehicle again at any time. This can occur either in the event of a system failure or when the system reaches its limits.

SAE-L 4: Highly automated driving

The system performs the complete driving task in defined use cases. Even in the event of a system failure or when the system reaches its limits, the responsibility of the complete driving task remains with the system, which brings the vehicle to a safe condition.

SAE-L 5: Fully automated driving

The system performs the complete driving task in every use case, so it is able to drive in urban areas, on main roads and on highways under all environmental conditions. If a system failure occurs, the system remains responsible of the driving task and brings the vehicle to a safe condition.

SAE-L 1: Driver assistance systems
SAE-L 2: Partially automated driving
SAE-L 3: Conditionally automated driving
SAE-L 4: Highly automated driving
SAE-L 5: Fully automated driving
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SAE-L 1: Driver assistance systems

A driver assistance system performs either sustained longitudinal or lateral vehicle motion control in defined use cases to support the driver. The driver has to permanently monitor the system and be capable of taking corrective action immediately and at any time, if a system failure occurs.

SAE-L 2: Partially automated driving

The system performs both sustained longitudinal and lateral vehicle motion control in defined use cases in order to support the driver. The driver has to permanently monitor the system and be capable of taking corrective action immediately and at any time, if a system failure occurs.

SAE-L 3: Conditionally automated driving

The system performs the complete driving task in defined use cases. When the system requests the driver to intervene, the driver must be capable of taking over control of the vehicle again at any time. This can occur either in the event of a system failure or when the system reaches its limits.

SAE-L 4: Highly automated driving

The system performs the complete driving task in defined use cases. Even in the event of a system failure or when the system reaches its limits, the responsibility of the complete driving task remains with the system, which brings the vehicle to a safe condition.

SAE-L 5: Fully automated driving

The system performs the complete driving task in every use case, so it is able to drive in urban areas, on main roads and on highways under all environmental conditions. If a system failure occurs, the system remains responsible of the driving task and brings the vehicle to a safe condition.

Research projects

VDA Leitinitiative autonomes und vernetztes Fahren: VVMethoden – Verification and validation of autonomous systems *

Legally secure and efficient release of autonomous vehicles: testing and validation of vehicle systems plays a key role in the introduction of fully automated and autonomous driving functions.

* VDA flagship initiative for autonomous and connected driving: verification and validation methods

As consortium leader, Bosch sees this publicly funded project as an opportunity to include efficient testability for the first time right from the start in the development of fully automated and autonomous systems.

5GCroCo – Fifth generation cross-border control

5GCroCo will trial 5G technologies in the cross-border corridor along France, Germany and Luxembourg. In addition, this publicly funded project also aims to define new business models that can be built on top of this connectivity and service provisioning capacity. This will impact relevant standardization bodies from the telco and automotive industries.

Within the framework of this project, Bosch will develop and demonstrate tele-operated driving functions in a restricted area use case and in a cross-border rural road use case.

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ICT4CART - ICT infrastructure for connected and automated road transport

The publicly funded project aims to design, implement and test in real-life conditions a versatile information and communication technology (ICT) infrastructure that will enable the transition towards higher levels of automation addressing existing gaps and working with specific key ICT elements, namely hybrid connectivity, data management, cyber-security, data privacy and accurate localization.

ICT4CART builds on high-value use cases (urban and highway), which will be demonstrated and validated in real-life conditions at the test sites. Bosch will prepare test vehicles and automated driving functions and will apply the upgraded Bosch test vehicle in the ICT4CART environment to demonstrate the highway use case and analyze its performance and benefit.

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MEC-View - Mobile Edge Computing based object detection for automated driving

The publicly funded project pursues the objective of automated driving in complex urban traffic scenarios, such as automatically entering a priority road. By this, MEC-View strives for a safer and more efficient automated driving in urban traffic. The approach is based on the evaluation of a secondary road side sensor setup, which provides object data for a local environmental model to expand the coverage of the vehicle’s on-board sensors.

To ensure the fusion of infrastructure-based and vehicle-based environmental models, a high-resolution digital map, a high-performance mobile network and a Mobile Edge Computing (MEC) server are used.

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