• Publications
  • Influence
Making Bertha Drive—An Autonomous Journey on a Historic Route
TLDR
We show that autonomous driving is feasible — not only on highways but even in very complex urban areas such as the Bertha Benz memorial route. Expand
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The Stixel World - A Compact Medium Level Representation of the 3D-World
TLDR
We propose to represent the 3D-situation by a set of rectangular sticks named “stixels” as shown in Fig. 1(b). Expand
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Towards a Global Optimal Multi-Layer Stixel Representation of Dense 3D Data
TLDR
Dense 3D data as delivered by stereo vision systems, modern laser scanners or timeof-flight cameras such as PMD is a key element for 3D scene understanding. Expand
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Efficient representation of traffic scenes by means of dynamic stixels
Correlation based stereo vision has proven its power in commercially available driver assistance systems. Recently, real-time dense stereo vision has become available on inexpensive FPGA hardware. InExpand
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Exploiting the Power of Stereo Confidences
TLDR
We present an extension of the so called Stixel World, a generic 3D intermediate representation that can serve as input for many of the applications mentioned above. Expand
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Semantic Stixels: Depth is not enough
TLDR
We present Semantic Stixels, a novel vision-based scene model geared towards automated driving. Expand
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Curb reconstruction using Conditional Random Fields
TLDR
This paper presents a generic framework for curb detection and reconstruction in the context of driver assistance systems. Expand
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Making Bertha See
TLDR
With the market introduction of the 2014 Mercedes-Benz S-Class vehicle equipped with a stereo camera system, autonomous driving has become a reality, at least in low speed highway scenarios. Expand
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Modeling Dynamic 3D Environments by Means of The Stixel World
  • D. Pfeiffer, U. Franke
  • Computer Science
  • IEEE Intelligent Transportation Systems Magazine
  • 18 August 2011
TLDR
We present a medium level representation to model the freespace and obstacles of the threedimensional environment in a very compact and robust manner. Expand
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Efficient Stixel-based object recognition
TLDR
We propose a novel attention mechanism to improve stereo-vision based object recognition systems in terms of recognition performance and computational efficiency at the same time. Expand
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