A5100633936- Indoor and Outdoor Localization Technologies
- Underwater Vehicles and Communication Systems
- Human Pose and Action Recognition
- Target Tracking and Data Fusion in Sensor Networks
- Modular Robots and Swarm Intelligence
- Human Motion and Animation
- Distributed Control Multi-Agent Systems
- Scheduling and Optimization Algorithms
- Robotics and Sensor-Based Localization
- Manufacturing Process and Optimization
- Energy Efficient Wireless Sensor Networks
- Advanced Manufacturing and Logistics Optimization
- Direction-of-Arrival Estimation Techniques
- Antenna Design and Optimization
- Millimeter-Wave Propagation and Modeling
- 3D Shape Modeling and Analysis
- Advanced Graph Neural Networks
- Speech and Audio Processing
- Advanced MIMO Systems Optimization
- Wireless Communication Networks Research
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Advanced Algorithms and Applications
- Tribology and Wear Analysis
- Opportunistic and Delay-Tolerant Networks
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2015-2024
Harbin Institute of Technology
2022-2024
Huaqiao University
2021-2024
National University of Defense Technology
2024
Hefei Institutes of Physical Science
2024
Chinese Academy of Sciences
2024
University of Macau
2024
Macau University of Science and Technology
2017-2023
Chinese University of Hong Kong
2023
Hong Kong Polytechnic University
2023
This paper describes an algorithm that exploits multipath propagation for position estimation of mobile receivers. We apply a novel based on recursive Bayesian filtering, named Channel-SLAM. approach treats components as signals emitted from virtual transmitters, which are time synchronized to the physical transmitter and static in their positions. Contrary other approaches, Channel-SLAM considers also paths occurring due multiple numbers reflections or scattering well combination. Hence,...
Networks of micro aerial vehicles (MAVs) equipped with various sensors are increasingly used for civil applications, such as monitoring, surveillance, and disaster management. In this article, we discuss the communication requirements raised by applications in MAV networks. We propose a novel system representation that can be to specify different application demands. To end, extract key functionalities expected an network. map these into building blocks characterize needs. Based on insights...
The following topics are dealt with: image reconstruction; learning (artificial intelligence); solid modelling; representation; feature extraction; neural nets; stereo processing; colour analysis; cameras; convolutional nets.
Teams of mobile robots will play a crucial role in future missions to explore the surfaces extraterrestrial bodies. Setting up infrastructure and taking scientific samples are expensive tasks when operating distant, challenging, unknown environments. In contrast current single-robot space missions, heterogeneous robotic teams increase efficiency via enhanced autonomy parallelization, improve robustness functional redundancy, as well benefit from complementary capabilities individual robots....
Recovering high-quality 3D human motion in complex scenes from monocular videos is important for many applications, ranging AR/VR to robotics. However, capturing realistic human-scene interactions, while dealing with occlusions and partial views, challenging; current approaches are still far achieving compelling results. We address this problem by proposing LEMO: LEarning MOtion priors 4D body capture. By leveraging the large-scale capture dataset AMASS [38], we introduce a novel smoothness...
Technologies envisaged for a 5G communications system provide interesting prospects which are beneficial co-operative positioning. Since development is in the early stages, there unique opportunity to develop and integrate mobile radio based positioning technology from beginning. In this paper we discuss concepts ensure seamless by cooperative positioning, terminals (MTs) collaborate help each other determine their own position. We address key like smaller cells, higher MT densities...
A multitude of autonomous robotic platforms collectively organized as a swarm attracts increasing attention for remote sensing and exploration tasks. navigation system is essential the to localize itself well external sources. In this article, we propose self-aware that conscious causality between its position localization uncertainty. This knowledge allows move in way not only account mission objectives but also enhance information. Position information classical systems has already been...
Today's mobile radio systems deploy reference signals which can be used or are even dedicated for signal propagation delay-based terminal positioning. Usually, the power of such is uniformly distributed over available spectrum. It known from estimation theory that a uniform distribution not optimal delay estimation. In this paper we consider positioning based on in uplink case. For positioning, introduce parametric waveform. This waveform provides scalar parameter controlling Using aim to...
In this paper, we show that a multi-mode antenna (MMA) is an interesting alternative to conventional phased array for direction-of-arrival (DoA) estimation. By MMA mean single physical radiator with multiple ports, which excite different characteristic modes. contrast arrays, closed-form mathematical model of the response, like steering vector, not straightforward define MMAs. Instead one has rely on calibration measurement or electromagnetic field (EMF) simulation data, discrete. To perform...
Autonomous robotic swarms are envisioned for a variety of sensing applications in space exploration, search and rescue, disaster management. An important capability swarm is spatio-temporal processes such as radio wave propagation seismic activities. The spa-tio-temporal properties these dictate the required position time accuracy, well update rate. A dedicated wireless communication system needs to be jointly designed information exchange, self-localization, sensing. In this article, we...
Automatic perception of human behaviors during social interactions is crucial for AR/VR applications, and an essential component estimation plausible 3D pose shape our partners from the egocentric view. One biggest challenges this task severe body truncation due to close distances in scenarios, which brings large ambiguities unseen parts. To tackle challenge, we propose a novel scene-conditioned diffusion method model distribution. Conditioned on scene geometry, generates bodies humanscene...
Abstract High-temperature bent heat pipes are safety-level transfer components used in pipe cooled reactor, and their applications becoming increasingly widespread. In this study, a comprehensive three-dimensional numerical model was established to evaluate the effects of different bending angles radii on performance high-temperature pipes. The solved for temperature, pressure, velocity fields wall, wick, evaporator, considers compressibility effect vapor. study investigated parameters such...
We propose autonomous robotic swarm exploration to search for extra-terrestrial life in the Valles Marineris canyon system on Mars. The consists of unmanned ground vehicles (UGVs) and aerial (UAVs). Key technologies are robust flight control algorithms as well infrastructure-less navigation. navigation uses inertial navigation, laser scanners, cameras, relative radio positioning systems. later one employs hybrid time-division multiple access (TDMA) - frequency division (FDMA) interleaved...