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FSOCO: The Formula Student Objects in Context Dataset
Journal Article
12-05-01-0003
ISSN: 2574-0741, e-ISSN: 2574-075X
Sector:
Topic:
Citation:
Vödisch, N., Dodel, D., and Schötz, M., "FSOCO: The Formula Student Objects in Context Dataset," SAE Intl. J CAV 5(1):23-32, 2022, https://doi.org/10.4271/12-05-01-0003.
Language:
English
References
- Betz , J. , Wischnewski , A. , Heilmeier , A. , Nobis , F. et al. A Software Architecture for an Autonomous Racecar 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) Kuala Lumpur, Malaysia 2019 1 6
- Caporale , D. , Settimi , A. , Massa , F. , Amerotti , F. et al. Towards the Design of Robotic Drivers for Full-Scale Self-Driving Racing Cars 2019 International Conference on Robotics and Automation (ICRA) Montreal, QC, Canada 2019 5643 5649
- Formula Student Germany 2019 https://www.formulastudent.de/fileadmin/user_upload/all/2019/PR_Media/FSG2019_Presseeinladung_v20190727.pdf 2020
- Formula Student Germany 2019 https://www.formulastudent.de/teams/registered/2019/ 2020
- Arkin , R.C. Behavior-Based Robotics Cambridge, MA MIT Press 1998 210
- Zeilinger , M. , Hauk , R. , Bader , M. , and Hofmann , A. Design of an Autonomous Race Car for the Formula Student Driverless (FSD) Proceedings of the OAGM & ARW Joint Workshop Vienna, Austria 2017
- de la Iglesia Valls , M. , Hendrikx , H.F.C. , Reijgwart , V. , Meier , F.V. et al. 2018 IEEE International Conference on Robotics and Automation (ICRA) Brisbane, QLD, Australia 2018 2048 2055
- Gosala , N.B. , Bühler , A. , Prajapat , M. , Ehmke , C. et al. 2019 IEEE International Conference on Robotics and Automation (ICRA) Montreal, QC, Canada 2019 6561 6567
- Andresen , L. , Brandemuehl , A. , Hönger , A. , Kuan , B. et al. Accurate Mapping and Planning for Autonomous Racing 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Las Vegas, NV, USA 2020 4743 4749
- Strobel , K. , Zhu , S. , Chang , R. , and Koppula , S. Accurate, Low-Latency Visual Perception for Autonomous Racing: Challenges, Mechanisms, and Practical Solutions 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Las Vegas, NV, USA, 2020 1969 1975
- Dhall , A. , Dai , D. , and Van Gool , L. Real-Time 3D Traffic Cone Detection for Autonomous Driving 2019 IEEE Intelligent Vehicles Symposium (IV) Paris, France 2019 494 501
- Formula Student Germany https://www.formulastudent.de/fileadmin/user_upload/all/2018/Academy/Slides/07_FPGA_for_image_detection_UAS_Augsburg__FSG_Academy_20181117_Friedrichshafen.pptx 2020
- Deng , J. , Dong , W. , Socher , R. , Li , L. et al. ImageNet: A Large-Scale Hierarchical Image Database 2009 IEEE Conference on Computer Vision and Pattern Recognition Miami, FL, USA 2009 248 255
- Lin , T.-Y. , Maire , M. , Belongie , S. , Hays , J. et al. Microsoft COCO: Common Objects in Context Computer Vision—ECCV 2014 2014 740 755
- Geiger , A. , Lenz , P. , Stiller , C. , and Urtasun , R. Vision Meets Robotics: The KITTI Dataset International Journal of Robotics Research (IJRR) 32 11 2013 1231 1237
- Cordts , M. , Omran , M. , Ramos , S. , Rehfeld , T. et al. The Cityscapes Dataset for Semantic Urban Scene Understanding 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Las Vegas, NV 2016 3213 3223
- Gählert , N. , Jourdan , N. , Cordts , M. , Franke , U. et al. Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection CVPR Workshop on Scalability in Autonomous Driving Seattle, WA, USA 2020
- Chang , M.-F. , Lambert , J. , Sangkloy , P. , Singh , J. et al. Argoverse: 3D Tracking and Forecasting with Rich Maps 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Long Beach, CA, USA 2019 8740 8749
- Caesar , H. , Bankiti , V. , Lang , A.H. , Vora , S. et al. nuScenes: A Multimodal Dataset for Autonomous Driving 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, WA, USA 2020 11618 11628
- Barbu , A. , Mayo , D. , Alverio , J. , Luo , W. et al. ObjectNet: A Large-Scale Bias-Controlled Dataset for Pushing the Limits of Object Recognition Models Wallach , H. , Larochelle , H. , Beygelzimer , A. , d’Alché-Buc , F. et al., (eds.), Advances in Neural Information Processing Systems Curran Associates, Inc. Vancouver, BC, Canada 32 2019 9448 9458
- Yu , F. , Chen , H. , Wang , X. , Xian , W. et al. BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Seattle, WA, USA 2020 2633 2642
- Ren , J. , Liu , P.J. , Fertig , E. , Snoek , J. et al. Likelihood Ratios for Out-of-Distribution Detection Wallach , H. , Larochelle , H. , Beygelzimer , A. , d’Alché-Buc , F. et al., (eds.), Advances in Neural Information Processing Systems 32 2019 14680 14691
- Hsu , H.-K. , Yao , C.-H. , Tsai , Y.-H. , Hung , W.-C. et al. Progressive Domain Adaptation for Object Detection 2020 IEEE Winter Conference on Applications of Computer Vision 2020 738 746
- Krizhevsky , A. , Sutskever , I. , and Hinton , G.E. ImageNet Classification with Deep Convolutional Neural Networks Advances in Neural Information Processing Systems Pereira , F. , Burges , C.J.C. , Bottou , L. , and Weinberger , K.Q. 25 2012 1106 1114
- Bochkovskiy , A. , Wang , C.-Y. , and Liao , H. arXiv preprint arXiv:2004.10934 2020