In this thesis an innovative method for scene interpretation has been developed. The method is rule based and is able to consider longitudinal as well as lateral movement of the vehicles to interpret a scene which is very important for Driver Assistance applications such as a Collision Avoidance System shown here. The results of the Collision Avoidance System application has shown that using of an optimized scene interpretation module is applicable and able lo reduce traffic accidents. Additionally the combination of the Collision Avoidance System and the Traffic Lights Assistant shows a further impact in reducing intersection accidents. Nevertheless the system has to be improved in the next steps to cover as much traffic situations as possible. Therefore the first step has to be the implementation of the system in a test vehicle to approve the simulation results. As mentioned the system is based on ideal data, so that the sensor data has to be processed to get the required data to realize the system. Additionally the system can take the acceleration of the preceding vehicle into consideration to be able to react in a faster way to hard braking vehicles to improve the performance of the system. Therefore EVITA can be used to optimize the developed system. Furthermore an improvement of the system can only be achieved if not only the area in front of the vehicle is considered, but also the side and rear area in order to be able to make a steering maneuver and avoid a collision for instance. Therefore sensors are required which have sufficient properties. Besides the costs of these sensors must be low to be able to realize the launch of these systems in vehicles in future. A possible solution for the performance problem can be solved by using Car-To-X communication which is not only useful for a Collision Avoidance System but also for a Traffic Lights Assistant which needs information about the moment of turning red. To be able to launch a Collision Avoidance System in vehicles will take some years, but in future the introduction of such systems lo market will be possible.


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    Title :

    A rule-based system for collision avoidance driver assistance systems: collision avoidance/ collision mitigation


    Contributors:


    Publication date :

    2012


    Size :

    166 Seiten, 143 Bilder, 12 Tabellen, 115 Quellen




    Type of media :

    Theses


    Type of material :

    Print


    Language :

    English






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