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MOBILE ROBOTICS

Porto de Mós - Leiria

Descrição da oferta de emprego

Literature Review.
• Review of previous work on localization using 3D sensors; • Analysis of current technologies, identifying their limitations and areas for improvement.
Data Acquisition.
• Selection of the most suitable 3D sensors (e.
.
LiDAR, stereo cameras); • Planning data collection in different environments; • Identification of relevant public datasets.
Resource Engineering.
• Feature Extraction.
Identification of the most relevant features, such as curvature, normals and distances; • Feature Selection.
Choose the most important features using techniques such as.
o Correlation analysis; o Importance of features (feature importance); o Dimensionality reduction.
Algorithm Development and Training.
• Defining the model architecture, choosing the algorithm and carrying out tests with different configurations and hyperparameters; • Training.
Division of collected data into training, validation and test sets.
Experimenting with various optimization techniques such as gradient descent and stochastic descent.
Performance Analysis and Refinement.
• Assessment of model performance on the validation set, using relevant metrics (e.
., precision, accuracy, recall, F1-score); • Model Refinement.
Adjusting the model by modifying hyperparameters, adding or removing features, or exploring different architectures; • Consideration of techniques such as transfer learning or ensemble methods.
Compilation of Results and Final Report.
• Compilation of results obtained throughout the project; • Writing of the final report, detailing the work carried out and the conclusions drawn Academic Qualifications Bachelor's degree in engineering or related field; Minimum profile required Enrollment in a Master's degree in Electrical and Computer Engineering, Computer Engineering, or related areas; Preference factors Experience in Artificial Vision, Artificial Intelligence, ROS; Application Period Since 26 Sep to 09 Oct [Open soon] Centre Robotics in Industry and Intelligent Systems Scientific Advisor Héber Miguel Sobreira
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Detalhes da oferta

Empresa
  • INESC TEC
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 25/09/2024
Data de expiração
  • 24/12/2024
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