原文连接:A survey of multisensor fusion techniques, architectures and methodologies | IEEE Conference Publication | IEEE Xplore 多传感器融合技术、体系结构和方法综述 摘要 本文对多传感器融合技术进行了综述。综述了传感器融合类型、拓扑结构和用于多传感器融合的基本体系结构等主题。此外,还介绍了用于信号级处理和决...
R. Schmitt, B. Damm, M. Harding, A. Pavim, Sensor fusion techniques for the self-optimised assembly of a micro-laser, in: 7th International Heinz Nixdorf Symposium--Self-Optimizing Mechatronic Systems: Design the Future, 2008, p. 331-343....
sensor fusion传感器融合, data fusion数据融合, information fusion信息融合, multi-sensor data fusion多传感器数据融合, multi-sensor integration多传感器集成 一般涉及到多重数据/信息来源作为输入的系统都会涉及到这些术语。 Information Fusion: encompasses theory, techniques and tools conceived and employed for expl...
indirect fusion and fusion of the outputs of the former two. Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like...
Multi-sensor data fusion techniques for RPAS navigation and guidance Integrated Navigation and Guidance Systems (NGS) based only on satellite andother low-costnavigationsensors(e.g., Micro-Electro-Mechanical System (MEMS) ba... F Cappello,S Ramasamy,R Sabatini - AIAC 16: Multinatioinal Aerospace...
To benchmark our technique we investigate the performance of other state-of-the-art sensor fusion techniques. The feature-fusion is represented by CNN models (1-channel CNN, 2-channel CNN, dual-branch CNN). All are trained in a conventional supervised fashion from scratch using the ResNet-18...
In this section, we investigate the most commonly used multisensor fusion techniques for the local estimation errors with correlations, without correlations, or with unknown correlations. The important fusion rules for those three types are listed in Table 1, where and are local and fused ...
The combination of data from multiple sensors, also known as sensor fusion or data fusion, is a key aspect in the design of autonomous robots. In particular, algorithms able to accommodate sensor fusion techniques enable increased accuracy, and are more resilient against the malfunction of individua...
In our opinion, the pros outweigh possibly increasing computational costs in comparison to usual filter techniques – note, there are also examples in the SLAM domain, where the computational cost of an EKF based approach is higher in comparison. Especially, in incremental sensor fusion applications...
This study aims to improve the performance and generalization capability of end-to-end autonomous driving with scene understanding leveraging deep learning and multimodal sensor fusion techniques. The designed end-to-end deep neural network takes as input the visual image and associated depth information...