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As a core step of obstacle avoidance and path planning, dynamic obstacle detection is critical for autonomous driving. This study aimed to propose a dynamic obstacle detection method based on U–V disparity and residual optical flow for autonomous drivin
Wang, RuiMicrosoft Mixed Reality & AI Lab, Zurich, SwitzerlandZeller, NiclasKarlsruhe University of Applied Sciences, Karlsruhe, GermanyCremers, DanielDepartment of Computer Science, Technical University of Munich, Munich, GermanySpringer USInternational Journal of Computer Vision...
Piech Automotive is a German-Swiss vehicle manufacturer based inZurichandMunich. Three and a half years ago, the founders and owners of Piech Automotive,Toni Piechand Co-CEO/Creative DirectorRea Stark Rajcichad the idea to develop a new, flexible vehicle architecture. The...
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In Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, 8–14 September 2018; pp. 801–818. [Google Scholar] Chollet, F. Xception: Deep learning with depthwise separable convolutions. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition,...
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It involves several complex tasks, from image classification, to more advanced ones like object detection and Semantic Segmentation (SS). The first task deals with the assignment of a global label to an input image; however, it is of limited use in the autonomous driving scenario, given the ...
Finally, the development of social acceptance in Germany from 2011 to 2020 is investigated. Keywords: charging infrastructure; wireless power transfer; conductive charging; electric vehicles; range anxiety; social acceptance1. Introduction Climate change is one of greatest challenges with which humanity ...
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