Peter Mühlfellner

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Future requirements for drastic reduction of CO<sub>2</sub> production and energy consumption will lead to significant changes in the way we see mobility in the years to come. However, the automotive industry has identified significant barriers to the adoption of electric vehicles, including reduced driving range and greatly increased refueling times.(More)
Peter Mühlfellner Department for Driver Assistance and Integrated Safety, Volkswagen AG, Halmstad University, Letter Box 011/1777, Wolfsburg, Germany e-mail: peter.muehlfellner@volkswagen.de Mathias Bürki and Michael Bosse Autonomous Systems Lab, ETH Zürich, Leonhardstrasse 21, Zürich, Switzerland e-mail: mathias.buerki@mavt.ethz.ch, mike.bosse@mavt.ethz.ch(More)
Automated valet parking services provide great potential to increase the attractiveness of electric vehicles by mitigating their two main current deficiencies: reduced driving ranges and prolonged refueling times. The European research project V-Charge aims at providing this service on designated parking lots using close-to-market sensors only. For this(More)
The European V-Charge project seeks to develop fully automated valet parking and charging of electric vehicles using only low-cost sensors. One of the challenges is to implement robust visual localization using only cameras and stock vehicle sensors. We integrated four monocular, wide-angle, fisheye cameras on a consumer car and implemented a mapping and(More)
This paper presents a novel approach to environment perception providing consistent information about stationary obstacles, from an occupancy grid, and dynamic objects, from a model based object tracking at the same level of detail. Raw ranging data from dynamic objects is disregarded for the stationary grid map. A detailed shape representation of dynamic(More)
Future requirements for drastic reduction of CO2 production and energy consumption will lead to significant changes in the way we see mobility in the years to come. However, the automotive industry has identified significant barriers to the adoption of electric vehicles, including reduced driving range and greatly increased refueling times. Automated cars(More)
Automated driving can help solve the current and future problems of individual transportation. Automated valet parking is a possible approach to help with overcrowded parking areas in cities and make electric vehicles more appealing. In an automated valet system, drivers are able to drop off their vehicle close to a parking area. The vehicle drives to a(More)
We present a flexible architecture for image-based feature detection and object classification on an FPGA. This architecture is tailored to the requirements of future driver assistance systems, which will make it necessary to detect a wide range of different object types in multi-camera systems requiring highly efficient hardware. In contrast to other(More)
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