Integrity and Collaboration in Dynamic Sensor Networks

作     者：Schoen, Steffen Brenner, Claus Alkhatib, Hamza Coenen, Max Dbouk, Hani Garcia-Fernandez, Nicolas Fischer, Colin Heipke, Christian Lohmann, Katja Neumann, Ingo Uyen Nguyen Paffenholz, Jens-Andre Peters, Torben Rottensteiner, Franz Schachtschneider, Julia Sester, Monika Sun, Ligang Vogel, Soeren Voges, Raphael Wagner, Bernardo 

作者机构：Leibniz Univ Hannover Inst Erdmessung D-30167 Hannover Germany Leibniz Univ Hannover Inst Cartog & Geoinformat D-30167 Hannover Germany Leibniz Univ Hannover Geodet Inst D-30167 Hannover Germany Leibniz Univ Hannover Inst Photogrammetry & GeoInformat D-30167 Hannover Germany Leibniz Univ Hannover Inst Syst Engn Real Time Syst Grp D-30167 Hannover Germany 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2018年第18卷第7期

页      面：2400-2400页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：German Research Foundation (DFG) [GRK2159] 

主　　题：integrity collaboration GNSS laser scanner camera interval mathematics set theory 

摘      要：Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especially true for applications dealing with highly automatic or even autonomous driving. Subsequently, multi-sensor platforms including laser scanners and cameras, as well as map data are used to enhance the navigation performance, namely in accuracy, integrity, continuity and availability. Although well-established procedures for integrity monitoring exist for aircraft navigation, for sensors and fusion algorithms used in automotive navigation, these concepts are still lacking. The research training group ***, integrity and collaboration in dynamic sensor networks, aims to fill this gap and to contribute to relevant topics. This includes the definition of alternative integrity concepts for space and time based on set theory and interval mathematics, establishing new types of maps that report on the trustworthiness of the represented information, as well as taking advantage of collaboration by improved filters incorporating person and object tracking. In this paper, we describe our approach and summarize the preliminary results.