Michael Gabb

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 5

Top Topics

Image Compression

Monocular Images

Curvature Estimation

Top Venues

Intelligent Vehicles Symposium

Publications

Johannes Müller, Michael Gabb, Michael Buchholz
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety. IV (2019)
Michael Gabb, Holger Digel, Tobias Müller, Rüdiger-Walter Henn
Infrastructure-supported Perception and Track-level Fusion using Edge Computing. IV (2019)
Johannes Müller, Thomas Griebel, Michael Gabb, Michael Buchholz
Subjective Logic-Based Identification of Markov Chains and Its Application to CAV's Safety. CAVS (2019)
Johannes Müller, Michael Gabb, Michael Buchholz
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety. CoRR (2019)
Bharanidhar Duraisamy, Michael Gabb, Aswin Vijayamohnan Nair, Tilo Schwarz, Ting Yuan
Track level fusion of extended objects from heterogeneous sensors. FUSION (2016)
Oliver Hartmann, Michael Gabb, Florian Schüle, Roland Schweiger, Klaus Dietmayer
Robust and real-time multi-cue map verification for the road ahead. ITSC (2014)
Michael Gabb, Sebastian Krebs, Otto Löhlein, Martin Fritzsche
Probabilistic inference of visibility conditions by means of sensor fusion. Intelligent Vehicles Symposium (2014)
Oliver Hartmann, Michael Gabb, Roland Schweiger, Klaus Dietmayer
Towards autonomous self-assessment of digital maps. Intelligent Vehicles Symposium (2014)
Christoph Rößing, Axel Reker, Michael Gabb, Klaus Dietmayer, Hendrik P. A. Lensch
Intuitive visualization of vehicle distance, velocity and risk potential in rear-view camera applications. Intelligent Vehicles Symposium (2013)
Raimar Wagner, Markus Thom, Michael Gabb, Matthias Limmer, Roland Schweiger, Albrecht Rothermel
Convolutional Neural Networks for night-time animal orientation estimation. Intelligent Vehicles Symposium (2013)
Antje Westenberger, Michael Gabb, Marc M. Muntzinger, Martin Fritzsche, Klaus Dietmayer
State and existence estimation with out-of-sequence measurements for a collision avoidance system. Intelligent Vehicles Symposium (2013)
Raimar Wagner, Markus Thom, Michael Gabb, Christian Feller, Roland Schweiger, Albrecht Rothermel
Image compression with discriminative dictionaries. ICCE-Berlin (2013)
Michael Gabb, Artem Kaliuk, Thomas Ruland, Otto Löhlein, Antje Westenberger, Klaus Dietmayer
Feature-based monocular vehicle turn rate estimation from a moving platform. Intelligent Vehicles Symposium (2013)
Michael Gabb, Otto Löhlein, Raimar Wagner, Antje Westenberger, Martin Fritzsche, Klaus Dietmayer
High-performance on-road vehicle detection in monocular images. ITSC (2013)
Oliver Hartmann, Roland Schweiger, Raimar Wagner, Florian Schüle, Michael Gabb, Klaus Dietmayer
Night time road curvature estimation based on Convolutional Neural Networks. Intelligent Vehicles Symposium (2013)
Raimar Wagner, Michael Gabb, Julian Forster, Roland Schweiger, Albrecht Rothermel
Improving detector performance by learning from compressed samples. ICCE-Berlin (2012)
Michael Gabb, Raimar Wagner, Markus Gressmann, Oliver Hartmann, Otto Löhlein, Roland Schweiger, Klaus Dietmayer
Feature selection for automotive object detection tasks - A study. ICCE-Berlin (2012)
Raimar Wagner, Markus Thom, Roland Schweiger, Michael Gabb, Amrei Röhlig, Albrecht Rothermel
Influence of image compression on cascade classifier components. SISY (2012)
Michael Gabb, Otto Löhlein, Matthias F. Oberländer, Gunther Heidemann
Efficient monocular vehicle orientation estimation using a tree-based classifier. Intelligent Vehicles Symposium (2011)