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Long description: The world of Automotive and Electronics has been changing continuously Technologies that have been discussed as projects for the future are now available in every new car, and progress toward autonomous driving is visible, although the future will still bring many challenges to master. The AmE is the perfect place to discuss these challenges, both from the technical as well as the legal and societal side. Sensors become more and more powerful which allows to get a better image of the car surroundings. Increasing computational power helps to fuse data from different sources such as RADAR, LIDAR, camera and ultrasound, enhanced and combined with information from Car-2-X communication and off-board services. Nevertheless, there are plenty of unresolved issues. On the hardware side, high computational power requires efficient chips, implemented in state-of-the-art technology, which is right now 7nm. New assembly technologies for vertically stacked dies as they are used in high-end GPUs, lead to very compact devices with a high power density. This implies forced cooling, a new concept with few experiences, in particular with respect to long term reliability. On the software side, the construction of the car surroundings is still far away from being perfect. Whereas scenarios such as driving on a motorway are well understood, it is right now unimaginable to drive a car autonomously through a crowded downtown with thousands of bikes and pedestrians, all with a certain ignorance of the traffic rules. AmE addresses industry as well as academia to improve the communication between the two mentioned worlds, triggering new ideas. AmE is also an excellent platform for presenting research work and getting immediate feedback from application engineering. This interaction is one of the main strengths of the AmE and a real magnet for all participants.

Fahrzeugelektronik --- Automotive --- Sensorik --- Autonomes Fahren --- Connectivity --- Fahrerassistenzsystem --- Bordnetze

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Environment perception with cameras is an important requirement for many applications for autonomous vehicles and robots. This work presents a stereoscopic omnidirectional camera system for autonomous vehicles which resolves the problem of a limited field of view and provides a 360° panoramic view of the environment. We present a new projection model for these cameras and show that the camera setup overcomes major drawbacks of traditional perspective cameras in many applications.

Bildverarbeitung --- Autonomous Vehicles --- Rundumsicht --- Kamera-Kalibrierung --- Computer Vision --- Autonomes Fahren --- Robotik --- Camera-Calibration --- Omni-Vision --- Robotics

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This work presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The algorithm allows to consider the prediction uncertainty (e.g. different intentions), perception uncertainty (e.g. occlusions) as well as the uncertain interactive behavior of the other agents explicitly. Simulating the most likely future scenarios allows to find an optimal policy online that enables non-conservative planning under uncertainty.

Mechanical engineering & materials --- Autonomes Fahren --- Entscheidungsfindung --- Verhaltensgenerierung --- Trajektorienplanung --- Interaktion --- Autonomous Driving --- Decision Making --- Behavior Planning --- Trajectory Planning --- Interactive Planning

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Long description: In the same way as time will be subject to permanent changes, the focus of the AmE Conference is going to change. More than ten years ago, when the AmE Conference was launched, automotive electronics was characterized by a continuously growing network of many dedicated ECUs. Looking at today's technology and changing requirements, particularly in communication, we see that mobility turns out to become a service rather than a means of transport. Intermodal travelling is in the transition from vision to reality, and car sharing is no longer the dream of lunatics - it has rather become a viable option for many people, especially in combination with electric vehicles. These changes imply changes in automotive technology and development methodologies. The architecture is in transition from a heterogenous network of ECUs towards a centralized system with high computational power. These new systems are built with new technologies and require new development and simulation tools for handling the complexity. The current software development will continue regarding many safety relevant domains, but new approaches such as Artificial Intelligence/Machine Learning will enter the stage due to the necessity to handle the huge amounts of data, generated by sensors and the link to the backbone servers providing additional information.

Fahrzeugelektronik --- Automotive --- Sensorik --- Autonomes Fahren --- Fahrerassistenzsystem --- Konnektivität --- Bordnetze --- Driver assistant system --- Fahrerunterstützungssystem --- Advanced Driver Assistance System --- ADAS --- Assistenzsystem --- Kraftfahrzeugelektronik --- Selbstfahrendes Fahrzeug --- Automatisiertes Fahren --- Fahrzeug --- Autonomer Roboter --- Unbemanntes Fahrzeug

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(Produktform)Electronic book text --- Artificial Intelligence --- AI --- Aufmerksamkeit --- Autonomes Fahren --- Autonomie --- Bildung --- Cyberwar --- Deep learning --- Digitalisierung --- Humanitäres Völkerrecht --- KI --- Kybernetik --- Künstliche Intelligenz --- Literatur --- Roboter --- Verantwortung --- (VLB-WN)9510