Planung kooperativer Fahrmanöver für kognitive Automobile

Fahrerassistenzsysteme eröffnen die Möglichkeit für automatische Eingriffe in Gefahrensituationen und bieten dadurch ein Potenzial zur Unfallvermeidung und zur Minimierung der Unfallschwere im Straßenverkehr. Die Handlungen mehrerer kognitiver Fahrzeuge können über Funkkommunikation miteinander koordiniert werden. Diese Dissertation untersucht potenziell echtzeitfähige Bewegungsplanungsalgorithmen zur Planung von Fahrmanövern, die von mehreren Fahrzeugen kooperativ ausgeführt werden können

How Flying Got Smarter

Most flying activities today are based on extensive knowledge, embodied in smart devices and algorithms to sup- plement and sometimes supplant pilots. Control developed in five principal stages. Initially flying was a pure craft, with high variability and low safety. In the 1930s, rules were developed, and instruments replaced human senses. Rule-based control proved inadequate to handle the complexity of WW II aircraft, and the result was the development of standard procedures. These three stages all used the human pilot to do the actual control. Two further stages use automated control. But higher stages of flying control revert to lower stages in some situations

How Flying Got Smarter

Most flying activities today are based on extensive knowledge, embodied in smart devices and algorithms to sup- plement and sometimes supplant pilots. Control developed in five principal stages. Initially flying was a pure craft, with high variability and low safety. In the 1930s, rules were developed, and instruments replaced human senses. Rule-based control proved inadequate to handle the complexity of WW II aircraft, and the result was the development of standard procedures. These three stages all used the human pilot to do the actual control. Two further stages use automated control. But higher stages of flying control revert to lower stages in some situations