UMR CNRS 7253

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en:data [2014/12/24 12:32] – [KITTI semantic segmentation ground truth] xuphilipen:data [2016/11/05 04:38] xuphilip
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 +====== Grand Cooperative Driving Challenge ======
 +
 +We provide the C++ code as well as the data recorded during our participation in the GCDC 2016.
 +
 +The code has been developped within the [[https://devel.hds.utc.fr/software/pacpus|PACPUS]] open-source framework.
 +
 +== Download ==
 +^ Component ^  Link  ^
 +^ Localisation | {{:en:codes:GCDC_localisation.zip|}} |
 +^ Perception | {{:en:codes:GCDC_perception.zip|}} |
 +^ Control | {{:en:codes:GCDC_control.zip|}} |
 +^ Communication | {{:en:codes:GCDC_communication.zip|}} |
 +^ Supervisor | {{:en:codes:GCDC_supervisor.zip|}} |
 +
 +^ Data ^  Heat 1  ^  Heat 3  ^  Heat 5  ^
 +^ Localization | {{:en:codes:GCDC_data_heat1_localisation.zip|}} | {{:en:codes:GCDC_data_heat3_localisation.zip|}} | {{:en:codes:GCDC_data_heat5_localisation.zip|}} |
 +^ Perception | {{:en:codes:GCDC_data_heat1_perception.zip|}} | {{:en:codes:GCDC_data_heat3_perception.zip|}} | {{:en:codes:GCDC_data_heat5_perception.zip|}} |
 +^ Communication | {{:en:codes:GCDC_data_heat1_communication.zip|}} | {{:en:codes:GCDC_data_heat3_communication.zip|}} | {{:en:codes:GCDC_data_heat5_communication.zip|}} |
 +
 +====== Evidential Calibration ======
 +
 +We provide the MATLAB® code for our evidential multiclass classifier calibration method.
 +  * calibTrain.m:  train the calibration model given some validation data
 +  * score2prob.m:  transform a vector of scores into probabilities
 +  * score2plaus.m: transform a vector of scores into plausibilities over singletons
 +
 +== Download ==
 +^  ^  Link  ^
 +^ Calibration code | {{:en:codes:multinomial_calibration.zip|}} |
 +
 +== References ==
 +
 +**__Ph. Xu__**, F. Davoine, H. Zha and T. Denœux.
 +**Evidential calibration of binary SVM classifiers**.
 +//International Journal of Approximate Reasoning (IJAR)//, Vol. 72, pages 55--70, May 2016.\\
 +{{:en:publis:xu14_ijar_evidential_calibration_of_binary_svm_classifiers.pdf|Paper}}
 +[[https://hal.archives-ouvertes.fr/hal-01154794|HAL]]
 +[[https://dx.doi.org/10.1016/j.ijar.2015.05.002|DOI]]
 +
 +**__Ph. Xu__**, F. Davoine and T. Denœux.
 +**Evidential Multinomial Logistic Regression for Multiclass Classifier Calibration**.
 +In //Proceedings of the 18th International Conference on Information Fusion//, pages 1106-1112, Washington, D.C., July 6-9, 2015.\\
 +{{:en:publis:xu15_fusion_evidential_multimodal_logistic_regression_for_multiclass_classifier_calibration.pdf|Paper}}
 +
 +**__Ph. Xu__**, F. Davoine and T. Denœux.
 +**Evidential Logistic Regression for Binary SVM Classifier Calibration**.
 +In F. Cuzzolin, editor, //Belief Functions: Theory and Applications//.
 +//Proceedings of the 3rd International Conference on Belief Functions//, Springer, LNCS 8764, pages 49-57, Oxford, UK, September 26-28, 2014.\\
 +{{:en:publis:xu14_belief_evidential_logistic_regression_for_binary_svm_classifier_calibration.pdf|Paper}}
 +{{:en:publis:xu14_belief_presentation.pdf|Oral}}
 +[[https://dx.doi.org/10.1007/978-3-319-11191-9_6|DOI]]
 +{{:en:publi:xu14_belief.bib|BibTeX}}
 +
 +----
  
 ====== Combination of pedestrian detectors ====== ====== Combination of pedestrian detectors ======
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 ---- ----
  
-====== KITTI semantic segmentation ground truth ======+====== KITTI semantic segmentation ======
 {{ :en:sample.png?nolink |}} {{ :en:sample.png?nolink |}}
 {{ :en:classes.png?nolink |}} {{ :en:classes.png?nolink |}}
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 == References == == References ==
-PhXu, F. Davoine, J.-B. Bordes, H. Zhao and T. Denoeux.+**__PhXu__**, F. Davoine, J.-B. Bordes, H. Zhao and T. Denœux.
 **Multimodal Information Fusion for Urban Scene Understanding**. **Multimodal Information Fusion for Urban Scene Understanding**.
-//Machine Vision and Applications (MVA)//, in Press2014.+//Machine Vision and Applications (MVA)//, Vol. 27Issue 3, pages 331--349, April 2016.\\ 
 +[[https://hal.archives-ouvertes.fr/hal-01133430|HAL]] 
 +[[https://dx.doi.org/10.1007/s00138-014-0649-7|DOI]]
  
-PhXu, F. Davoine, J.-B. Bordes, H. Zhao and T. Denoeux.+**__PhXu__**, F. Davoine, J.-B. Bordes, H. Zhao and T. Denoeux.
 **Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding**. **Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding**.
 In //Proceedings of the Thirteenth IAPR International Conference on Machine Vision Applications (MVA)//, pages 189-193, Kyoto, Japan, May 20-23, 2013. In //Proceedings of the Thirteenth IAPR International Conference on Machine Vision Applications (MVA)//, pages 189-193, Kyoto, Japan, May 20-23, 2013.
 {{en/publi/xu13_mva_information_fusion_on_oversegmentated_images_an_application_for_urban_scene_understanding.pdf|paper}}{{en/publi/xu13_mva_presentation.pdf|oral}} {{en/publi/xu13_mva_information_fusion_on_oversegmentated_images_an_application_for_urban_scene_understanding.pdf|paper}}{{en/publi/xu13_mva_presentation.pdf|oral}}
 [[http://hal.archives-ouvertes.fr/hal-00932896|HAL]] [[http://hal.archives-ouvertes.fr/hal-00932896|HAL]]
- 
----- 
- 
-====== KITTI moving object segmentation ground truth ====== 
-Coming soon... 
  

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