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capabilities. The candidate may work on advanced multimodal sensor fusion, environmental perception, field-aware localization, precision navigation, and interaction with ground-based robotic or stationary
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast
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the Department of Electrical Engineering at TU/e. The AIMS lab researches and develops AI models for systems equipped with sensors of multiple different modalities. We foster expertise in AI analysis of RGB
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and applying high-resolution time-lapse GPR and EMI imaging methods at multiple scales to enhance our understanding of subsurface flow Designing and implementing novel inversion algorithms for GPR and
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
that allow for eye gaze study through multiple camera systems. Roles and responsibilities We are looking for a doctoral researcher to work and develop algorithms and multi-camera capturing systems for eye
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data
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] to perform their tasks efficiently. The control of multiple robots through a centralized software platform can bring a large-scale farm automation. However, agricultural environments often feature