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We have 34 lidar PhD Projects, Programmes & Scholarships

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lidar PhD Projects, Programmes & Scholarships

We have 34 lidar PhD Projects, Programmes & Scholarships

Heterogeneous integration of SiN and GaAs for LiDAR systems

Closing date. 31st December 2025. This project, co-funded by QinetiQ, aims to develop advanced technologies for defence and security by creating a heterogeneous SiN-GaAs platform for a coherent Frequency-Modulated Continuous Wave (FMCW) LiDAR operating at the 1-µm wavelength band. . Read more

Information Fusion Navigation Algorithm based on Lidar-Vision Integration

At present, indoor unmanned vehicles are becoming more and more popular, but there are still many problems in their navigation and positioning algorithms, especially blind spots, edge-to-edge sweeping and spinning problems. Read more

Doctor of Engineering (EngD) - Novel laser sources in the mid-infrared spectral region for security and sensing applications (Fraunhofer and University of Strathclyde)

  Research Group: CDT in Applied Photonics
Project Description. This project will address the urgent requirement for new photonics tools in the mid-infrared (mid-IR) spectral region to police stricter greenhouse gas (GHG) emission standards and to progress imaging capabilities in poor visibility for security applications. Read more

3-D multi pixel detectors for advanced localisation and detection of radiation sources

3-D multi pixel detectors for advanced localisation and detection of radiation sources. Supervisors. Prof. Tom B. Scott (University of Bristol), Dr Stephen Bell (NPL, National Nuclear Laboratory), Dr David Megson-Smith (University of Bristol). Read more

Trunk to twig: high-resolution mapping of forest composition, architecture and carbon storage across the Amazonian basin

Tropical forests play a pivotal role in global climate regulation, as well as supporting vital ecosystems and rich biodiversity. Despite the importance of the Amazon, as the largest and most species-rich forest on Earth, vast remote regions of this territory remain severely under surveyed. Read more

Deep Learning for Anomaly and Out of Distribution Detection in Computer Vision (Visual AI) Applications

Anomaly detection, and the synonymous topics of novelty and out-of-distribution detection, addresses the computer vision ("visual AI") challenge of automatically identifying outliers within the scene or image based on their appearance, motion or behaviour characteristics. Read more

Semantic segmentation of point cloud data using multi-modal data fusion and deep learning

Providing semantic information to point cloud data presents a critical task in many applications. Point-based segmentation methods are accurate but computational complex, making them unsuitable for handling large-scale point cloud datasets. Read more

Deep Learning Based Machine Vision for Space-Informed Applications

The increasing congestion of Earth's orbit with satellites and debris poses significant challenges in space activities, while sensors from space provide valuable data about the Earth to inform net zero. Read more

Computer Vision with Responsible Artificial Intelligence for Human-Related Data

Human data is centric to many computer science, machine learning and biomedical engineering research. Such data includes human images/videos, motions and trajectories, medical images (X-ray, MRI, CT), faces, gestures, medical records, etc. Read more

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