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(LiDAR, multimodal cameras, GNSS, IMU, etc.) and external sensors (CCTV, UWB, IoT); development of data acquisition, filtering, and preprocessing pipelines; implementation of sensor fusion algorithms
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-constrained drone platforms. Design custom PCBs for lightweight, low-power drone platforms, including sensor interfaces, power regulation, embedded processors, and communication modules. Develop power-efficient
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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We are looking for a Research Fellow to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms
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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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. Develop intelligent algorithms that allow cooling systems to be controlled based on sensor inputs, ensuring adaptation to different scenarios and operating conditions; 4. Integrate and validate
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degree in informatics. Work plan: 1- Review of the literature on cooperative air transport and multi-agent control; select drone platforms and tools. 2- Evaluate and simulate sensor configurations for pose
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and