Noise Experiments

Generaly, Neural Network based algorithms should be more robust compared to hard coded algorithms. A similar case should be expected for our Visual Control algorithm as well. In this post, we study the performance of the brains by adding noise. [Read More]

Camera Offset Experiments

Generaly, Neural Network based algorithms should be more robust compared to hard coded algorithms. A similar case should be expected for our Visual Control algorithm as well. In this post, we study the performance of the brains by changing the camera position. [Read More]

Real Time Factor Experiments

The RTF (Real Time Factor) plays a crucial role in determining the performance of the network. According to qualitative experiments (visually observing behavior), the NARX network is able to complete a difficult curve in Montmelo Circuit when the RTF is reduced. In this blog post, we study the effects of... [Read More]

Data Analysis

The data for our training is generated by running the Formula 1 Car on the red line racing track. The car follows the red line using PID based Control and the control commands and the images are collected while the car is running using Behavior Metrics. The data is collected... [Read More]

Deep Learning Studio

Hello Engineers! It’s been a long time since I have written any post on this blog. I wish to start it again, let’s see how it goes! Currently, I am working on a different project: Deep Learning Studio. In this project, the aim is to research and study different Neural... [Read More]