M
Markus Enzweiler
Researcher at Daimler AG
Publications - 49
Citations - 15124
Markus Enzweiler is an academic researcher from Daimler AG. The author has contributed to research in topics: Object detection & Point cloud. The author has an hindex of 22, co-authored 47 publications receiving 10617 citations. Previous affiliations of Markus Enzweiler include Bonn-Rhein-Sieg University of Applied Sciences & Mercedes-Benz.
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Proceedings ArticleDOI
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts,Mohamed Omran,Sebastian Ramos,Timo Rehfeld,Markus Enzweiler,Rodrigo Benenson,Uwe Franke,Stefan Roth,Bernt Schiele +8 more
TL;DR: This work introduces Cityscapes, a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic labeling, and exceeds previous attempts in terms of dataset size, annotation richness, scene variability, and complexity.
Posted Content
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts,Mohamed Omran,Sebastian Ramos,Timo Rehfeld,Markus Enzweiler,Rodrigo Benenson,Uwe Franke,Stefan Roth,Bernt Schiele +8 more
TL;DR: Cityscapes as discussed by the authors is a large-scale dataset for semantic urban scene understanding, consisting of 5000 images with high quality pixel-level annotations and 200,000 additional images with coarse annotations.
Journal ArticleDOI
Monocular Pedestrian Detection: Survey and Experiments
TL;DR: An overview of the current state of the art of pedestrian detection from both methodological and experimental perspectives is provided and a clear advantage of HOG/linSVM at higher image resolutions and lower processing speeds is indicated.
Journal ArticleDOI
Making Bertha Drive?An Autonomous Journey on a Historic Route
Julius Ziegler,Philipp Bender,Markus Schreiber,Henning Lategahn,Tobias Strauss,Christoph Stiller,Thao Dang,Uwe Franke,Nils Appenrodt,Christoph G. Keller,Eberhard Kaus,Ralf Herrtwich,Clemens Rabe,David Pfeiffer,Frank Lindner,Fridtjof Stein,Friedrich Erbs,Markus Enzweiler,Carsten Knöppel,Jochen Hipp,Martin Haueis,Maximilian Trepte,Carsten Brenk,Andreas Tamke,Mohammad Ghanaat,Markus Braun,Armin Joos,Hans Fritz,Horst Mock,Martin Hein,Eberhard Zeeb +30 more
TL;DR: An overview of the autonomous vehicle is given and details on vision and radar-based perception, digital road maps and video-based self-localization, as well as motion planning in complex urban scenarios are presented.
Proceedings ArticleDOI
Multi-cue pedestrian classification with partial occlusion handling
TL;DR: In experiments on extensive real-world data sets, with both partially occluded and non-occluded pedestrians, significant performance boosts over state-of-the-art approaches are obtained by up to a factor of four in reduction of false positives at constant detection rates.