Vanessa Fernández’s TFM student: Visual Control with DeepLearning

Week 38: Final Videos
Week 37: Videos
Weeks 35, 36: Results
Week 34: Reading information, Controlnet
Week 33: Controlnet, Reading information
Week 32: Controlnet
Week 31: Results, Fixed circuit
Week 30: Results, Controlnet Statistics, Fixed circuit
Week 29: Problems with the circuits, Tests with CurveGP circuit, Controlnet statistics, Circuit
Week 28: Circuit
Week 27: Temporal difference network
Week 26: Tests with other circuit, Controlnet, Temporal difference network
Week 25: Study of difference images, Results, Controlnet
Week 24: Reading information, Temporal difference network, Results
Week 23: Driving videos, Pilotnet multiple (stacked), Metrics table, Basic LSTM
Week 22: Results table, Data analysis, CARLA simulator, Udacity simulator
Week 21: Driving videos, Stacked network
Week 20: Driving videos, Reading information
Week 19: Reading information
Weeks 17, 18: Driving video, New Dataset, Number of data for each class, Data statistics, Effect of image colourspace on CNN
Week 16: Driving videos, Classification network, LSTM-Tinypilotnet
Week 15: Driving videos, Dataset coherence study, Driving analysis, New gui
Week 14: Classification Network, Regression Network, Reading information
Week 13: Data’s Analysis, New Dataset
Week 12: Follow line with classification network, Studying Tensorboard, Classification network for v, Regression network for w and v
Week 11: Correction of the binary classification model, correction of driver node, accuracy top2, Pilotnet network
Week 10: Adding new class, Classification network
Week 9: Improving driver node, classification network, and driver test
Week 8: Improving driver node
Week 7: Dataset generator and driver node
Weeks 5, 6: First steps with Follow Line
Weeks 3, 4: Understanding LSTM
Week 2: Follow line dataset
Week 1: Read papers about Deep Learning for Steering Autonomous Vehicles, CNN with Tensorflow
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