Collision Avoidance, Virtual Coupling of Trains, Autonomous Trains - Novel Train Localization Methods for Next Generation Railways

Although rail transport is mostly a very safe and highly energy-efficient means of transport, road transport is the main mode of transport. In EU-27, 76% of all goods and 83% of all passengers are transported on roads. To shift more traffic to rail, the railroads of the future must become more attractive and competitive by implementing innovations in both rolling stock and infrastructure. Hence, academia and industry are researching new applications such as collision avoidance, virtual coupling of trains, and autonomous driving trains. Key technologies for these applications are radio communications and train localization. This talk will present the current state of the art in radio communications for trains and in train localization, and provide insights into research in these areas. Special attention will be given to the accurate, reliable and redundant localization of trains

LB272 CR for OST CIDs (11.55.1.1 Overview)

This submission discusses resolutions to the following 15 CIDs from LB272 of TGbf D1.0. The CID list is: 1027, 1057, 1060, 1061, 1062, 1064, 1175, 1176, 1342, 1520, 1703, 1704, 1942, 1962, 1963 Proposed changes in this document are with reference to TGbf D1.0. Revisions: - Rev 0: Intitial version of the documen

LB276 CR for OST CIDs (11.5.1 Sensing Procedure)

This submission discusses resolutions to the following 9 comment identifications (CIDs) from letter ballot 276 (LB276) of Task Group bf (TGbf) of Draft 2.0 (D2.0). The CID list is: 3035, 3036, 3072, 3091, 3095, 3250, 3476, 3482, 3483 Proposed changes in this document are with reference to TGbf D2.0. Revisions: * Rev 0: Intitial version of the document * Rev 1: Revised resolutions to CIDs 3091, 3095, 3482, 3483 * Rev 2: Revised resolution to CID 309

LB276 CR for OST CIDs (11.5.1 Sensing Procedure) – Part 2

This submission discusses resolutions to the following 15 comment identifications (CIDs) from letter ballot 276 (LB276) of Task Group bf (TGbf) of Draft 2.0 (D2.0). The CID list is: 3002, 3037, 3038, 3046, 3048, 3049, 3050, 3051, 3052, 3053, 3054, 3055, 3073, 3162, 3204 Proposed changes in this document are with reference to TGbf D2.1. Revisions: * Rev 0: Intitial version of the document * Rev 1: Updated resolution of CID 3048 * Rev 2: Updated resolutions of CIDs 3162, 3002, 305

Orthogonal STBC MC-CDMA system with channel estimation over realistic high mobility MIMO channels

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Bayesian Cramér-Rao Lower Bound for Magnetic Field-Based Localization

In this paper, we show how to analyze the achievable position accuracy of magnetic localization based on Bayesian Cramér-Rao lower bounds and how to account for deterministic inputs in the bound. The derivation of the bound requires an analytical model, e.g., a map or database, that links the position that is to be estimated to the corresponding magnetic field value. Unfortunately, finding an analytical model from the laws of physics is not feasible due to the complexity of the involved differential equations and the required knowledge about the environment. In this paper, we therefore use a Gaussian process (GP) that approximates the true analytical model based on training data. The GP ensures a smooth, differentiable likelihood and allows a strict Bayesian treatment of the estimation problem. Based on a novel set of measurements recorded in an indoor environment, the bound is evaluated for different sensor heights and is compared to the mean squared error of a particle filter. Furthermore, the bound is calculated for the case when only the magnetic magnitude is used for positioning and the case when the whole vector field is considered. For both cases, the resulting position bound is below 10cm indicating an high potential accuracy of magnetic localization

OPENKI The platform for open education

In this demo we aim to introduce and demonstrate OPENKI, an interactive web-platform designed and developed with the aim of facilitating a barrier-free access to education. In a nutshell, OPENKI is an open-source tool to facilitate self- organized, regionalized and offline knowledge exchange. It provides a basis for mediating non-commercial education op- portunities by means of acting as a meeting point for indi- viduals interested in similar subjects. The platform connects individuals who are interested learning or teaching specific topics, or have a physical space to offer where the coordi- nated events can take place, and gather themselves around interest groups. Through its lightweight interface, all stages of a learning processes are made possible from the selection of topics and the organization and execution of courses up to the documentation of the learning material.

LB272 CR for OST CIDs (11.55.1.1 Overview) - Part 2

This submission discusses resolutions to the following 9 comment identifications (CIDs) from letter ballot 272 (LB272) of Task Group bf (TGbf) of Draft 1.0 (D1.0). The CID list is: 1059, 1063, 1065, 1345, 1705, 1788, 1908, 1964, 1965 Proposed changes in this document are with reference to TGbf D1.1. Revisions: * Rev 0: Intitial version of the document * Rev 1: Update based on changes from discussion from 11bf AM1 session 2023-07-10 o Discussed CIDs: 1059, 1063, 1065, 1705, 1788, 1908, 1964, 1965 o Revised CIDs: 134