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The complex demands associated with automated driving cannot be managed by a single company. That is why Bosch has concluded strategic partnerships with other companies and initiated numerous pilot and research projects. Such joint commitment covers many areas of automated driving and ranges from the development of innovative camera sensors and connected onboard systems through the generation of detailed , high-resolution digital maps to fully automated driving system for the city.
While some projects are based on technology already available today, such as sensors, others are clearly aligned toward the development of future technologies.
Find out more about the partnerships concluded, the resulting synergies, and how they help to get automated vehicles onto the road safely.
The interior monitoring system detects driver drowsiness and distraction, and provides driving assistance.
International studies state that nearly one in ten accidents are caused by distraction or drowsiness. To avert such accidents Bosch has developed a new interior monitoring system featuring cameras and artificial intelligence (AI). The system is able to detect driver distraction and signs of drowsiness and it alerts the driver to critical situations. By keeping an eye on what is happening inside the car, it is hoped that a fundamental problem of self-driving cars will be solved. If responsibility for driving is to be transferred to the driver again following an automated drive on the freeway, say, the car needs to be sure that the driver is neither sleeping, nor reading the newspaper, nor writing e-mails on their smartphone.
Bosch and Mercedes-Benz they are not interested in prototypes, but instead want to develop a production-ready system that can be integrated into different vehicle types and models.
Bosch and Mercedes-Benz launched their pilot project for an app-based ride-hailing service using automated vehicles in the Californian city of San José. Monitored by a safety driver, the self-driving cars shuttle between West San José and downtown. The service will initially be available to a select group of users.
Bosch and Mercedes-Benz hope this trial will provide valuable insights into the further development of their SAE Level 4/5 automated driving system. Their common goal is a driving system for fully automated and driverless vehicles, including the software for vehicle management. However, they are not interested in prototypes, but instead want to develop a production-ready system that can be integrated into different vehicle types and models.
Special sensors scan the vehicle’s surroundings to create a road signature.
The satellite data used by navigation systems is, on its own, not adequate for determining the position of automated vehicles with sufficient accuracy. What is needed is a holistic solution comprising hardware, software, and services. This is precisely the kind of package Bosch is now offering as a redundant system that is unique in the world. The motion and position sensor specially developed by Bosch makes it possible for vehicles to determine their own position with pinpoint precision. A network of stationary terrestrial reference stations is used to correct inaccuracies in the satellite data. Smart Bosch algorithms then process the data from the various sources to accurately determine the position. Finally, the Bosch road signature service provides additional redundancy using a combination of map-based localization and sensors that scan the vehicle’s surroundings.
The combination of vehicle data and weather data helps provide the necessary standard of safety.
Correctly judging the state of the road surface is essential for safe driving. This assessment has hitherto been based mainly on each driver’s own perception of the surroundings. Bosch, however, has developed a predictive road-condition service that enables the vehicle itself to identify potential hazards in good time. The new multiphase concept uses weather data from Bosch partner Foreca and vehicle data collected from all connected cars. All this information is combined and analyzed using smart technologies to produce an accurate prediction that not only enhances safety in vehicles of all SAE automation levels but will also ensure that the availability of all highly automated driving functions is maximized.
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