@article{Hirschmuller:2008:SPS:1340087.1340245,
 author = {Hirschmuller, Heiko},
 title = {Stereo Processing by Semiglobal Matching and Mutual Information},
 journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
 issue_date = {February 2008},
 volume = {30},
 number = {2},
 month = feb,
 year = {2008},
 issn = {0162-8828},
 pages = {328--341},
 numpages = {14},
 url = {http://dx.doi.org/10.1109/TPAMI.2007.1166},
 doi = {10.1109/TPAMI.2007.1166},
 acmid = {1340245},
 publisher = {IEEE Computer Society},
 address = {Washington, DC, USA},
 keywords = {global optimization, multi-baseline, mutual information, stereo, stereo, mutual information, global optimization, multi-baseline},
}

@article{hirschmuller2012memory,
  title={Memory efficient semi-global matching},
  author={Hirschm{\"u}ller, Heiko and Buder, Maximilian and Ernst, Ines},
  journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  volume={3},
  pages={371--376},
  year={2012}
}

@phdthesis{SWB-265504597,
title = {Fahrzeugdetektion durch Fusion monoskopischer Videomerkmale},
series = {Schriftenreihe / Institut für Mess- und Regelungstechnik, Universität Karlsruhe (TH) ; 007},
author = {Hoffmann, Christian},
address = {Karlsruhe},
publisher = {Universitätsverlag},
year = {2007},
isbn = {978-3-86644-139-2},
size = {XII, 113 S. : Ill., graph. Darst.},
keywords = {Fahrerassistenzsystem / Videobild / Merkmalsextraktion / Schatten / Achsensymmetrie / Datenfusion},
note = {Zugl.: Karlsruhe, Univ., Diss., 2006; Pb.: EUR 33,90},
bestand = {Karlsruher Institut für Technologie (KIT) - KIT-Bibliothek <90> [Signatur: 2007 DA 111];
Badische Landesbibliothek <31> [Signatur: 107 A 54165];},
}

@inproceedings{Franke2004FastSB,
  title={Fast Stereo based Object Detection for Stop&Go Traffic},
  author={U. Franke and I. Kutzbach},
  year={2004},
}

@INPROCEEDINGS{FrankeKutzbach96,
author={U. Franke and I. Kutzbach},
booktitle={Proceedings of Conference on Intelligent Vehicles},
title={Fast stereo based object detection for stop amp;go traffic},
year={1996},
pages={339-344},
abstract={This paper presents a new fast binocular stereo approach for the detection and tracking of objects, in particular for stop&go traffic. The proposed scheme is based on a local feature extraction and detects dominant objects by means of a Hough transform like disparity grouping. It is able to handle not only vehicles, but also other objects such as pedestrians. In addition, it allows to determine the camera orientation relative to the road and to distinguish between road surface and obstacles},
keywords={Hough transforms;feature extraction;image classification;object detection;road traffic;road vehicles;stereo image processing;Hough transform;binocular stereo approach;disparity grouping;dominant objects;local feature extraction;pedestrians;road surface;stereo based object detection;stop&go traffic;Automatic control;Cameras;Computer vision;Data mining;Feature extraction;Hardware;Object detection;Roads;Stereo vision;Vehicle detection},
doi={10.1109/IVS.1996.566403},
month={Sep},
}

@article{Mittal:2015:SCH:2775083.2788396,
 author = {Mittal, Sparsh and Vetter, Jeffrey S.},
 title = {A Survey of CPU-GPU Heterogeneous Computing Techniques},
 journal = {ACM Comput. Surv.},
 issue_date = {July 2015},
 volume = {47},
 number = {4},
 month = jul,
 year = {2015},
 issn = {0360-0300},
 pages = {69:1--69:35},
 articleno = {69},
 numpages = {35},
 url = {http://doi.acm.org/10.1145/2788396},
 doi = {10.1145/2788396},
 acmid = {2788396},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {CPU-GPU heterogeneous/hybrid/collaborative computing, dynamic/static load balancing, fused CPU-GPU chip, pipelining, programming frameworks, workload division/partitioning},
}

@book{HetereoOpenCL,
 author = {Gaster, B. et al.},
 title = {Heterogenous Computing OpenCL},
 year = {2011},
 isbn = {978-0123877666},
}