Introduction On Feb 21st, Michael and I tested the autonomous steering and cruise control system. Unfortunately, the testing was largely unsuccessful. We encounter many issues with the system and testing conditions. This prompted me to think about the robustness of our systems, specifically the semantic segmentation system. Shadows Convolutional neural networks are notoriously bad at handling shadows.…

Introduction: One of the most important aspects of a self-driving vehicle is to understand the world around us. We deeply believe that it’s possible to use camera and computer vision technology to achieve this, instead of using traditional radar or lidar. Once we can gain that understanding, we can program the vehicle to make decisions.…

Introduction In part 1 of this series, I discussed the algorithm behind the autonomous steering system, specifically, convolutional neural networks. In this post, I will dive deeper into the details of the networks that we are using, as well as the development process.  If you just came across my blog, I am excited to share…

Introduction The technology behind our autonomous vehicle project is largely inspired by the recent breakthroughs in the machine learning. Specifically, we are using Convolutional Neural Networks, supervised machine learning. You might be wondering, how are we coding those rules for the autonomous car steer itself. But the reality is, we are not telling the car what do you,…