Making Bertha See

By Uwe Franke, David Pfeiffer, Clemens Rabe, Carsten Knöppel, Markus Enzweiler, Fridtjof Stein, Ralf Guido Herrtwich. 2013

155 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Automotive Engineering, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Automotive Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

The Cityscapes Dataset for Semantic Urban Scene Understanding (2016, background): “Consequently, significant research efforts have gone into new vision technologies for understanding complex traffic scenes and driving scenarios [4, 16–18, 58, 62].”
Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding (2014, methodology): “We use a pipelining strategy where SGM stereo and Stixel computation are performed on dedicated FPGA hardware [17,21], which effectively increases the system latency by two frames (100 ms at a framerate of 20 Hz).”
The Cityscapes Dataset (2015, background): “Despite this complexity, the ability to correctly analyze the environment is critical for the development of autonomous systems such as self-driving cars [5, 6].”
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation (2018, background): “This is especially problematic on the computationally heavy task of semantic segmentation [4,5,6,7,8,9,10].”
Autonomous cars: Past, present and future a review of the developments in the last century, the present scenario and the expected future of autonomous vehicle technology (2015, methodology): “Algorithms to link various aspects of automation and machine vision were used (Franke, 2013; Zeigler, 2014).”
Trajectory planning for Bertha — A local, continuous method (2014, background): “Franke et al. give an account on BERTHAs perception system in [13].”
Making Bertha Drive—An Autonomous Journey on a Historic Route (2014, background): “More details on our approach can be found in [22].”
Three Decades of Driver Assistance Systems: Review and Future Perspectives (2014, background): “…roundabouts , and traffic lights ( Germany, in presence of crossing pedestrians, bicyclists, vehicles and trucks in narrow urban and rural roads and complied with traffic rules including traffic signs and lights (Franke et al. 2013, Lategahn et al. 2013, ITS Podcast 2013, Ziegler et al. 2014).”
A multi-block-matching approach for stereo (2015, background): “Due to this, SGM has become very popular, especially in the domain of intelligent vehicles [12], [7], [13].”
PROUD—Public Road Urban Driverless-Car Test (2015, methodology): “In August 2013, an S-Class vehicle with close-to-production sensors drove completely autonomously for about 100 km, following the well-known historic Bertha Benz Memorial Route [16], [17].”