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Bosch is working intensively on fitting automated vehicles with adaptive artificial intelligence enabling them to drive like a human being – only more safely and efficiently.
The automated cars of the future will be in control of all traffic situations which an excellent human driver should also be able to master. To do so, they constantly need to know where they are and what situations they face. Furthermore, they must be able to implement the planned driving strategy. But before that, automated vehicles need to decide in real time which driving strategy is the best in order to resolve the current traffic situation and reach their destinations safely (“Think”).
This task is assumed by the vehicle computer which is responsible for thinking in its capacity as the car's brain, so to speak. Top priority in all decisions by the vehicle computer is given to the safety of all driving maneuvers. After all, unlike human drivers, technology never gets tired. It constantly perceives its entire surroundings and can react faster. Combining these strengths with sophisticated artificial intelligence is the key to automated mobility of the future. And the particular competence displayed by Bosch concerns exactly this combination.
Bosch combines its in-depth vehicle expertise with software competence and machine learning to make cars smart.
Multi-layer security concepts from Bosch protect vehicles from hacker attacks.
The vehicle is protected by multilayer security concepts and secured against hacker attacks.
The software of the vehicle computer analyzes and interprets incoming data from the surroundings sensors and combines it with the information provided by other connected systems.
After interpreting the information received from the sensors, the vehicle calculates the optimal driving strategy and then implements it autonomously.
As a result of artificial intelligence being used during the development process, the vehicle learns the characteristic behavior patterns of objects in its surroundings, enabling it to be more proactive in future operations.
The vehicle is protected by multilayer security concepts and secured against hacker attacks.
The software of the vehicle computer analyzes and interprets incoming data from the surroundings sensors and combines it with the information provided by other connected systems.
After interpreting the information received from the sensors, the vehicle calculates the optimal driving strategy and then implements it autonomously.
As a result of artificial intelligence being used during the development process, the vehicle learns the characteristic behavior patterns of objects in its surroundings, enabling it to be more proactive in future operations.
Artificial intelligence (AI) is the term used to describe a process by which machines learn how to learn. Computer systems mimic human intelligence by performing intelligent behavior based on predefined or learned models. An AI system perceives its surroundings through e.g. cameras and sensors; it then interprets this information and derives actions from it.
The core intelligence of automated vehicles lies in the software running on the vehicle computer in the form of adaptive algorithms. The software analyzes and interprets incoming data from the surroundings sensors. It can, for instance, identify whether an object perceived by the sensors is a stop sign, vehicle, pedestrian, or cyclist. It can furthermore determine whether the object is moving and, if so, in which direction and at what speed. Based on the interpretation models, it is also possible to derive the likely future behavior of these static or dynamic objects.
The human being must be enabled to act as the controlling authority in all artificial intelligence decisions. With the AI Code, Bosch has provided the employees with clear guidelines for the development of smart products.
Future versions of DASy will also support highly automated driving on the highway or in driverless taxis.
The vehicle computer from Bosch fulfills the highest safety and security requirements. With its impressive computing power, it masters partially automated driving functions. It processes information from the surround-sensor system into a precise model and uses the latter to simultaneously develop a safe driving strategy even at high speeds. This key component of automated mobility is already in production at Bosch.
The self-learning algorithms of the vehicle software can use sensor data to detect and analyze complex traffic situations. All possible predicted sequences of events are precalculated when interpreting the data.
In this way, the vehicle learns the high art of anticipation: by observing a large number of objects during the development process, the system can determine their respective characteristic behavior, which helps it to make forecasts that are ever more reliable.
This is similar to how humans can learn from experience. In future, thanks to the vehicle's intelligence, it will be possible, for instance, to calculate the probability of a pedestrian crossing the path of the vehicle and so enable the braking system to be activated in good time. Its swift powers of perception and extremely fast reaction times mean that it has a clear advantage over human drivers.
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