Simplifying Automotive Engineering: Preparing for the Future
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Autonomous driving cars are vehicles that are capable of sensing their environment and navigating without human input. They use a variety of techniques to detect their surroundings, such as radar, laser light, GPS, odometry, and computer vision.
Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Autonomous cars have control systems that are capable of analyzing sensory data to distinguish between different cars on the road, which is very useful in planning a path to the desired destination.
Advanced Driver Assistance Systems
Driver assistance systems (acronym: ADAS) are electronic compenents in vehicles. They assist the driver, enhance safety, improve convenience and economy. A crucial factor for success is full detection of the car's surroundings with all relevant objects. This includes reliably predicting how a traffic scenario will develop. Different sensors acquire the vehicle's surroundings, and the sensor data is then analyzed and merged in the ECUs.
Car2x/V2X is a collective concept for many different research and development activities. They all share the goals of enhancing the safety of mobility, improving traffic efficiency and satisfying the need for convenience.
The AUTOSAR Adaptive Platform is a future-proof basis for automotive ECUs. A key advantage of the new standard is the ability to develop ECU applications independently of one another in distributed work groups.
While the development of conventional ECUs was driven primarily by stringent real-time and safety requirements, today aspects such as updating and upgrading capability are primary considerations. These involve dynamic reloading of software components, the use of standard libraries such as for image analysis, self-learning of functions and accelerated production cycles.
The rapidly growing connectivity of vehicles is opening up numerous opportunities for new functions and attractive business models. At the same time, the potential for cyber-attacks on vehicle networks is also growing.
The software for autonomous driving, driver assistance systems and infotainment is handling increasing amounts of data. In addition, more and more functions are no longer based on signal-based but on service-oriented communication. This is why Ethernet is used more and more in motor vehicles.
Software is the top driver for innovations in the automotive industry. Therefore the software must be safe in such a way that the occupants of the vehicle, other road users and pedestrians are not endangered in the event of a software malfunction. Special attention is given to the functions for automated driving when the car is completely controlled by software.