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1	Stochastic Road Infrastructure Management with Empirical Implementation in Uganda / 確率論的道路インフラアセットマネジメントモデルの構築とウガンダにおける実践的検証 OBUNGUTA, FELIX 23 March 2023 (has links) 京都大学 / 新制・課程博士 / 博士(工学) / 甲第24569号 / 工博第5075号 / 新制\|\|工\|\|1972(附属図書館) / 京都大学大学院工学研究科都市社会工学専攻 / (主査)教授須崎純一, 教授宇野伸宏, 准教授松島格也 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM Pavement management Stochastic Markov Model Condition-capacity trade-off Deep learning Objective annotation and IoU Uganda 500
2	Survey Design and Analysis for Energy Statistics Sagatelov, Rouben January 2008 (has links) No description available. studentized residuals Sales studentized CNEAF non-IOU CNEAF Regions Distribution of studentized residuals
3	CenterPoint-based 3D Object Detection in ONCE Dataset Du, Yuwei January 2022 (has links) High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. In this report, we present our optimized point cloud 3D object detection model based on CenterPoint method. CenterPoint detects centers of objects using a keypoint detector on top of a voxel-based backbone, then regresses to other attributes. On the basis of this, our modified model is featured with an improved Region Proposal Network (RPN) with extended receptive field, an added sub-head that produces an IoU-aware confidence score, as well as box ensemble inference strategies with more accurate predictions. These model enhancements, together with class-balanced data pre-processing, lead to a competitive accuracy of 72.02 mAP on ONCE Validation Split, and 79.09 mAP on ONCE Test Split. Our model gains the fifth place of ICCV 2021 Workshop SSLAD Track 3D Object Detection Challenge. / Högeffektiv punktmoln 3D-objektdetektering är viktig för autonom körning. 3D-objektdetektering baserad på punktmolnsdata är naturligtvis mer komplex och svårare än 2D-uppgiften baserad på bilder. Forskare fortsätter att arbeta med att förbättra 3D-objektdetekteringsprestandan i scenarier för autonom körning nyligen. I den här rapporten presenterar vi vår optimerade 3D-objektdetekteringsmodell baserad på CenterPoint. CenterPoint upptäcker objektcentrum med hjälp av en nyckelpunktsdetektor ovanpå en voxelbaserad ryggrad och går sedan tillbaka till andra attribut. På grundval av detta presenteras vår modifierade modell med ett förbättrat regionförslagsnätverk med utökat receptivt fält, en extra underrubrik som producerar en IoU-medveten konfidenspoäng och ensemblestrategier med mer exakta förutsägelser. Dessa modellförbättringar, tillsammans med klassbalanserad dataförbehandling, leder till en konkurrenskraftig noggrannhet på 72,02 mAP på ONCE Validation Split och 79,09 mAP på ONCE Test Split. Vår modell vinner femteplatsen i ICCV 2021 Workshop SSLAD Track 3D Object Detection Challenge. 3D Object Detection Keypoint Detector Class Balance Self-Calibrated Convolution IoU-aware Detector Box Ensembles 3D-Objektdetektering Nyckelpunktsdetektor Klassbalans Självkalibrerad Faltning IoU-medveten Detektor Boxensembler Elektroteknik och elektronik
4	Accurate Tracking by Overlap Maximization Bhat, Goutam January 2019 (has links) Visual object tracking is one of the fundamental problems in computer vision, with a wide number of practical applications in e.g.\ robotics, surveillance etc. Given a video sequence and the target bounding box in the first frame, a tracker is required to find the target in all subsequent frames. It is a challenging problem due to the limited training data available. An object tracker is generally evaluated using two criterias, namely robustness and accuracy. Robustness refers to the ability of a tracker to track for long durations, without losing the target. Accuracy, on the other hand, denotes how accurately a tracker can estimate the target bounding box. Recent years have seen significant improvement in tracking robustness. However, the problem of accurate tracking has seen less attention. Most current state-of-the-art trackers resort to a naive multi-scale search strategy which has fundamental limitations. Thus, in this thesis, we aim to develop a general target estimation component which can be used to determine accurate bounding box for tracking. We will investigate how bounding box estimators used in object detection can be modified to be used for object tracking. The key difference between detection and tracking is that in object detection, the classes to which the objects belong are known. However, in tracking, no prior information is available about the tracked object, other than a single image provided in the first frame. We will thus investigate different architectures to utilize the first frame information to provide target specific bounding box predictions. We will also investigate how the bounding box predictors can be integrated into a state-of-the-art tracking method to obtain robust as well as accurate tracking. Tracking Accurate Tracking IoU Prediction Computer Vision Annan elektroteknik och elektronik
5	Les promesses de payer : essai de théorie générale / Promises to pay : essay of a general theory Stanczak, Romain 03 November 2015 (has links) Les promesses de payer sont des contrats par lesquels une personne s’engage envers un créancier à payer ce qui lui est dû. De tels actes sont courants ; leurs applications sont variées. Le cautionnement, l’acceptation d’une lettre de change, la promesse d’exécuter une obligation naturelle, l’engagement du délégué envers le délégataire, le constitut, la garantie autonome, la souscription d’un billet à ordre, etc., sont des promesses de payer. Plus précisément, ces actes sont des applications diverses d’une même figure juridique : la promesse de payer. Cette dernière, déshabillée des particularités propres à chacune de ses applications spéciales, se présente comme une figure juridique unitaire, pourvue d’une nature et de caractères permanents. Ayant pour objet un paiement, elle suppose toujours l’existence d’une dette à acquitter. Cette dette, ou « obligation principale », constitue sa cause objective. Contrairement à une simple reconnaissance de dette, la promesse ne se borne pas à déclarer l’existence de celle-ci. En tant qu’engagement d’exécution, elle donne naissance à une nouvelle obligation, l’ « obligation de règlement », venant s’adjoindre à la première en vue de son paiement. L’obligation de règlement, à ce titre, constitue l’accessoire de l’obligation principale. Son régime, de sa naissance à son extinction, sera donc plus ou moins lié à celui de cette dernière. / Promises to pay are contracts by which a person commits to pay to a creditor what is owed to him. Such acts are as common as they are various. For instance, bond, acceptance of a bill of exchange, promise to perform a natural obligation, commitment of the delegate to the delegatee, autonomous guarantee, subscription of a promissory note, etc. are promises to pay. In fact, such acts are different applications of a single legal figure : the promise to pay. Apart from the specificities of each of its applications, the promise to pay reveals itself as a uniform legal act with a permanent nature. Because its subject consists in a payment, the promise to pay always presupposes the existence of a debt. Such debt, or “primary obligation”, is the “objective cause” of the promise. Unlike a simple “IOU”, a promise to pay is not limited to declare the existence of the primary obligation. As a commitment, it also produces a new obligation, the “obligation to pay”, which coexists with the primary obligation. The obligation to pay, as such, is ancillary to the primary obligation. Its legal status, from its birth to its expiration, will be closely linked to that of the primary obligation. Promesse Paiement Pacte constitutae pecuniae Accessoire Reconnaissance de dette Cautionnement Constitut Garantie autonome Obligation de règlement Obligation principale Obligation naturelle Délégation Lettre de change Chèque Billet à ordre Crédit documentaire Codébiteur solidaire Sûretés Promise Payment Pactum constitutae pecuniae Accessory “IOU” Bond Natural obligation First demand guarantee Obligation to pay Primary obligation Delegation Bill of exchange Promissory note Irrevocable documentary credit Joint and several debtor Securities 346

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