Self-Driving Car Steering Angle Prediction: Let Transformer Be a Car Again
This work addresses a specific problem in autonomous driving for the Udacity community, but it is incremental as it builds on existing solutions without introducing a fundamentally new approach.
The authors tackled the steering angle prediction task for self-driving cars using the Udacity Self-driving Car Challenge 2 dataset, proposing a new architecture inspired by previous solutions and reporting performance comparisons with baselines and other teams.
Self-driving vehicles are expected to be a massive economic influence over the coming decades. Udacity https://www.udacity.com/ has been working on a completely open-source self driving car. Thus, it regularly organizes various competitions, one of which was dedicated to steering angle prediction task. In this work, we perform an extensive study on this particular task by exploring the Udacity Self-driving Car Challenge 2. We provide insights on the previous teams' solutions. Moreover, we propose our new architecture that is inspired by some of the teams. We report our performance and compare it with multiple baseline architectures as well as other teams' solutions. We make our work available on GitHub and hope it is useful for the Udacity community and brings insights for future works https://github.com/chingisooinar/AI_self-driving-car