R&D Project Defense

Here you can find the successfully completed R&D projects of our students from the Master Autonomous Systems program. The list will be extended continuously. We are happy to receive additions, especially from previous years.

R&D Project Defense 2022

  • Testbench for UAVs
  • Assurance Cases for Learning Enabled Components
  • Implementing an Enhanced Fruit Tracking System for Precision Agriculture
  • Design of Semantic Parsers for Knowledge Representation using existing Computer Vision outputs
  • Speech Emotion Recognition from German Oral History Interviews
  • Automatic Scenario Detection for ADAS using Dynamic Time Warping
  • Evolving Deep Neural Network Architectures for Time Series Classification
  • Interactive Learning Loop for Modelling Valid Measurement Data in Driving Dynamics Evaluation
  • Anomaly Detection in Time Series Data

R&D Project Defense 2021

  • Classification of the Degree of Destruction of Laminated Safety Glass by Texture Analysis
  • Design of Cost-Effective, Lightweight Robotic Running Coach
  • Deep Learning for Livestock Detection
  • UAV Path Planning In 3D Unstructured Environment
  • Development of an UAV 3D terrain mapping system for forestry application
  • Design and feasibilityy of a UAV based seeding mechanism
  • Comparative Evaluation of Adversarial Attacks and its Defense Mechanisms on Deep Neural Network
  • Comparative Analysis of Explanations for Multivariate Time Series Classification
  • Imbalance Problems in Vision-based Object Detection and Learning from Negative Examples
  • Generic Object Segmentation in Dense Volume Data
  • Comparative evaluation of unsupervised methods for video anomaly detection
  • Estimation of water content in agricultural land via UAV-based sensing
  • Model-driven engineering support for ROS 2 through meta-models and tooling
  • Benchmarking Uncertainty Estimation Methods in Deep Learning for Regression
  • Explaining Deep Learning Models for Detecting Anomalies in Time Series Data
  • Registering and visualizing point cloud data with existing 3D CityGML Models
  • Clustering Techniques in Computer-Assisted Short Answer Grading
  • Automated Test Generation for Robot Self-Examination
  • Survey on Video-based Anticipation for Anomaly Detection
  • Comparative Evaluation of Generative Models for Future Frame Prediction
  • Feature Extraction for Motion Data
  • Environmental Sound Classification Using Deep Learning
  • Acoustic Quality Checking of Gearboxes using Machine Learning
  • Comparison between Fixed-weight Neural Network and Bayesian Neural Network for 3D Object Detection in Autonomous Driving

R&D Project Defense 2020

  • NEPO Framework based on Blockly Library
  • Automatic Question Generation For Exams
  • Identification of Reliable Observations in Car-Crash Analysis
  • Localization of Objects Using Unsupervised Representation Learning and Object Proposal Techniques
  • Generative Models for the Analysis of Dynamical Systems with Applications
  • Evaluation of Change Point Detection Algorithms for Time-Zero Estimation in Vehicle Crash Tests
  • Intelligent Identification of Valid Measurement Data for Driving Dynamics Evaluation
  • Detection of Occluded Pedestrians Using Deep Learning Techniques
  • Comparative Study of 3D Object Detection Frameworks Based on LiDAR Data and Sensor Fusion Technologies
  • Implementation of weightless neural networks on GPU for background subtraction
  • Comparing Reinforcement Learning Generalization across Physics Engines
  • Simulation of realistic traffic flows with genetic algorithms
  • Dynamic Modelling and Identification of the Neobotix MPO-700 Mobile Robot
  • Whole Body Contact Sensing in Human Robot Interaction: A Comprehensive Literature Survey with Preliminary Implementations
  • Fusing 3D Range Measures with Video Data for Robust Obstacle Detection and Avoidance
  • Comparative evaluation of mobile LiDAR-based 3D mapping systems for robot navigation in large-scale environments
  • Comparative Evaluation of Transfer Learning Models in Semantic Text Similarity
  • Embedded Deep Learning for Image-Based Grasp Verification
  • A Comprehensive Classification and Evaluation of Deep Learning Techniques for Object Detection in Videos
  • Multimodal machine learning techniques for evaluating task performance in robots
  • A Comparative Study of Sparsity Methods in Deep Neural Network for Faster Inference
  • Interactive Learned Models to Aid Human-Decision Making
  • Retrieval-based Geo-Localization from Aerial Images Using CNN Features
  • Towards smart coupling in multiphysics simulation
  • Evaluation of Language Interoperability Issues in PySpark

R&D Project Defense 2019

  • Comparative Study of Uncertainty Estimation Methods in Deep Learning based Classification Models
  • SqueezeBox: Real Time CPU Face Detector
  • Incorporating Contextual Knowledge Into Human-Robot Collaborative Task Execution
  • Comparative analysis of experience-based path planning frameworks for multi-robot systems
  • Assessing Service Robots Experience Data with Conversational Interfaces
  • Neural Scrutiny: A comparative study of neural network architecture generation techniques
  • On Using Convolutional Neural Networks for Human Activity Recognition with Accelerometer Data
  • Singularity detection in the Vereshchagin hybrid dynamics solver
  • Extending the Vereshchagin hybrid dynamic solver to mobile robots
  • Safe Reinforcement Learning - Comparative Evaluation and Experimentation