A5101619863- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Advanced MIMO Systems Optimization
- Robotics and Sensor-Based Localization
- 3D Shape Modeling and Analysis
- Optical measurement and interference techniques
- Millimeter-Wave Propagation and Modeling
- Image and Signal Denoising Methods
- Antenna Design and Analysis
- Power Line Communications and Noise
- Advanced Neural Network Applications
- Intellectual Property Law
- Sustainable Supply Chain Management
- Model Reduction and Neural Networks
- Human Pose and Action Recognition
- Transport and Economic Policies
- Systems Engineering Methodologies and Applications
- Remote Sensing and LiDAR Applications
- Corporate Governance and Law
- Planetary Science and Exploration
- Technology Assessment and Management
- Astro and Planetary Science
- Spacecraft and Cryogenic Technologies
- Advanced Bandit Algorithms Research
- Cognitive Radio Networks and Spectrum Sensing
IRD Fuel Cells (Denmark)
2024
University of Warwick
2022-2024
University of Rochester
2022
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations. Unlike recent reconstruction approaches, which typically produce entangled 3D representations encoded in neural networks, we output triangle meshes with spatially-varying environment that can be deployed any traditional graphics engine unmodified. leverage work differentiable rendering, coordinate-based networks to compactly represent volumetric texturing, alongside...
We present a parallelized optimization method based on fast Neural Radiance Fields (NeRF) for estimating 6-DoF pose of camera with respect to an object or scene. Given single observed RGB image the target, we can predict translation and rotation by minimizing residual between pixels rendered from NeRF model in image. integrate momentum-based extrinsic procedure into Instant Graphics Primitives, recent exceptionally implementation. By introducing parallel Monte Carlo sampling estimation task,...
We present a large-scale synthetic dataset for novel view synthesis consisting of ~300k images rendered from nearly 2000 complex scenes using high-quality ray tracing at high resolution (1600 x 1600 pixels). The is orders magnitude larger than existing datasets synthesis, thus providing large unified benchmark both training and evaluation. Using 4 distinct sources 3D meshes, the our exhibit challenging variations in camera views, lighting, shape, materials, textures. Because too methods to...
Factory automation design engineers building the Smart can use wireless 5G broadband networks for added flexibility. New Radio builds upon previous cellular communications standards to include technology "massive machine-type communication" and "ultra-reliable low-latency communication". In this work, authors augment an automated guided vehicle with additional capabilities (e.g., streaming high-resolution video enabling long-distance teleoperation), increasing mobile applications industrial...
This paper presents sub-6 GHz channel measurements using a directional antenna at the transmitter and or omnidirectional receiver 4.145 in sparse dense industrial environments for line-of-sight scenario. Furthermore, first measured over-the-air error vector magnitude (EVM) results depending on different 5G new radio modulation coding schemes (MCSs of16 QAM, 64 QAM 256 QAM) are provided. From measurement campaigns, path loss exponents (PLE) an environment 1.24/1.39 1.35/1.5, respectively. PLE...
Increasing the linear modulation range
Terahertz (THz) frequency technology holds great promise for enabling high data rates and low latency, essential manufacturing applications within Industry 4.0. To achieve these, beam training is necessary to enable MIMO communications without the need explicit channel state information (CSI). In this context, Multi-Armed Bandit (MAB) algorithms are able facilitate online learning decision-making in training, eliminating necessity extensive offline collection. paper, we introduce three...
Neural approximations of scalar and vector fields, such as signed distance functions radiance have emerged accurate, high-quality representations. State-of-the-art results are obtained by conditioning a neural approximation with lookup from trainable feature grids that take on part the learning task allow for smaller, more efficient networks. Unfortunately, these usually come at cost significantly increased memory consumption compared to stand-alone network models. We present dictionary...
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations. Unlike recent reconstruction approaches, which typically produce entangled 3D representations encoded in neural networks, we output triangle meshes with spatially-varying environment that can be deployed any traditional graphics engine unmodified. leverage work differentiable rendering, coordinate-based networks to compactly represent volumetric texturing, alongside...
We present a near real-time method for 6-DoF tracking of an unknown object from monocular RGBD video sequence, while simultaneously performing neural 3D reconstruction the object. Our works arbitrary rigid objects, even when visual texture is largely absent. The assumed to be segmented in first frame only. No additional information required, and no assumption made about interaction agent. Key our Neural Object Field that learned concurrently with pose graph optimization process order...
Project ALIEN (Alternative Lifeform Identification and Exploration Navigator) is a comprehensive mission architecture for human exploration of the Martian surface with goal searching evidence life on Mars, as designed submission to 2020 NASA RASC-AL Competition. This proposed has been restructured feasibility testing in Mars analogue facility Earth. paper explores changes made accommodate an Earth-based mission, impact those are expected have outcome analogue. Specifically, we investigate...
We present a parallelized optimization method based on fast Neural Radiance Fields (NeRF) for estimating 6-DoF pose of camera with respect to an object or scene. Given single observed RGB image the target, we can predict translation and rotation by minimizing residual between pixels rendered from NeRF model in image. integrate momentum-based extrinsic procedure into Instant Graphics Primitives, recent exceptionally implementation. By introducing parallel Monte Carlo sampling estimation task,...
Culture is one of the intangibles business, integral to success but regarded as difficult, if not impossible, measure. A business excellence culture measurement index developed by North West Water with Manchester School Management uses 11 metrics profile and track a prevailing work for strengths potential improvements.