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What’s a Capstone Project? And Why Do I Have to Take It?
Online Learning for Tracking. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks. The advantage of computer vision is that we can analyze each step, in a straightforward way. We're going to learn in this tutorial YOLO object detection.
Programming a Self-Driving Car
At this point, we have selected a pre-trained model and converted the existing data set into a single TFRecord file. However, what if the data set we find does not exactly match the target detection model to be used, and we want to get the best results? At the more extreme, we may not be able to find any suitable data set? In this series of tutorials, I have been trying to build a target detection model that can distinguish the status of traffic lights. The pre-training model I started with can only determine whether there is a traffic light in the image, but not whether the signal light is green, yellow or red.
The objective of this project is to implement ROS-based core of an autonomous vehicle. The vehicle shall be able to complete a closed-circuit test-track, detecting the traffic lights and stopping whenever required. More details on the project can be found here. The autonomous driving system is composed of perception, planning and control.