Implemention and Evaluation of a Hardware-Efficient Image Compression Pipeline in SystemVerilog

Bachelor’s Thesis

Semi-Supervised Bubble Segmentation for Video Capsule Endoscopy

Bachelor’s Thesis

Abstract

Video capsule endoscopy produces vast numbers of frames per examination, particularly of the small bowel, which is difficult to reach by other means, and manually reviewing and labelling this material is impractical. This thesis therefore investigates bubble segmentation in capsule endoscopy frames using semi-supervised learning, so that a small labelled subset suffices to classify the entire dataset. A Python/OpenCV tool is developed to annotate frames and generate bitmasks marking bubble positions; these masks then train a U-Net-based deep CNN in PyTorch, pre-trained on RGB data, whose predictions are evaluated using accuracy and precision scores.

Integration of a Hardware Accelerator for On-Device Localization in an FPGA-Based Video Capsule Prototype

Master’s Thesis

Abstract

In video capsule endoscopy, most of the capsule’s limited energy budget is spent on illumination and the wireless transmission of every captured image, even though many frames show organs irrelevant to the examination. This thesis integrates the resource-efficient UltraTrail AI accelerator into the FPGA of an Ovesco capsule prototype, using a Lattice CrossLink-NX-33 and a SystemVerilog design, so that a compact neural network can localize the capsule within the GI tract on-device and restrict transmission to the organ of interest. The design is verified in simulation and tested on real hardware via a USB-to-SPI adapter and a hardware-in-the-loop camera model, and is extended with improved memory organization, a Hidden Markov Model for more accurate localization, and pipelining of image capture with model execution to further reduce energy consumption.

Enwicklung einer Analyse-Pipeline von Kontrollfluss und Timing zur Unterstützung eines feingranularen Memory Power Managements

Master’s thesis

Sparse Voxel Grid Pruning for Collective Perception in Automated Driving

Bachelor’s Thesis

Collective Perception in Adverse Weather using Joint LiDAR-Based 3D Object Detection and Denoising

Research Project

Multi-Modal Adverse Weather Classification

Bachelor’s Thesis

Evaluation of AutoML Methods for Performance Estimation

Bachelor’s Thesis / Student Research Project

Optimierung eines Power Management Controllers zur Reduktion der Leistungsaufnahme

Masters’s thesis

Performance Modeling of the NVIDIA Deep-Learning Accelerator (NVDLA) using Performance Representatives

Bachelor’s Thesis / Master’s Thesis / Student Research Project

Automatic Translation of Python Instruction Behaviors into C++

Bachelor’s Thesis / Student Research Project

Cross-Architecture Performance Prediction

Bachelor’s Thesis / Master’s Thesis / Student Research Project

ACADL to Verilog Translation

Bachelor’s Thesis / Master’s Thesis / Student Research Project