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In order to establish general principles in the topic of motion planning for fully-automated driving, an intuitive problem statement in the form of an Euler–Lagrange Model is derived and transformed into a corresponding Hidden Markov Model for global optimization. Geometric and topologic considerations lead to a probabilistic environment modelling in combination with the C² model and result in general conclusions about the structure of traffic situations.

SPARC --- probabilistic environment modelling --- Optimierung --- optimization --- probabilistische Umweltmodellierung --- maneuver planning --- Manöverplanung --- automated driving --- automatisiertes Fahren

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A concept for time-related forecasts of lane change maneuvers in highway scenarios is presented within the present work. Automated driving systems rely on understanding the driving environment to fulfill their driving task transparently and safely. This involves the perception of the driving environment as well as its interpretation to detect and predict driving maneuvers of road users.

Fahrstreifenwechsel --- Automatisches Fahren --- Maschinelles Lernen --- dynamic Bayesian networks --- Dynamische Bayes'sche Netzwerke --- lane change --- machine learning --- automated driving

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Communication between vehicles and infrastructure will enable an entirely new way of managing traffic, reducing accidents, and increasing citizens' quality of life. Networking Vehicles to Everything provides a 360-degree overview of networking vehicle technology. This informational account also covers challenges, case considerations, current activities in standards, product implementation, and upcoming trends such as software reconfiguration, mmWave technology and advanced control theory tools. Readers will gain in-depth understanding of the main bodies and institutions developing and regulating the technology, current technological battles including in particular IEEE 802.11p and 3GPP LTE V2X technologies which compete for the top-spot in a multi-billion market, and will become aware of currently open technological questions and corresponding trends in terms of applications and markets for any type of vehicle.

Mobile communication systems --- Mobile communication systems. --- Vehicles --- Access control. --- Automatic control. --- 3GPP. --- Automated Driving. --- Autonomous car. --- Driverless. --- Self-driving. --- V2X.

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This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch.

Artificial intelligence --- Automated vehicles --- Project management --- Moral and ethical aspects. --- Customer/Consumer Protection --- Artificial Intelligence --- Automated Driving --- Autonomous Vehicle --- Image Recognition --- Deep Residual Learning

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This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch.

Artificial intelligence --- Automated vehicles --- Project management --- Customer/Consumer Protection --- Artificial Intelligence --- Automated Driving --- Autonomous Vehicle --- Image Recognition --- Deep Residual Learning --- Moral and ethical aspects. --- Moral and ethical aspects. --- Moral and ethical aspects. --- Customer/Consumer Protection --- Artificial Intelligence --- Automated Driving --- Autonomous Vehicle --- Image Recognition --- Deep Residual Learning