Autonomous Driving - Planning
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Updated
May 19, 2022 - C++
Autonomous Driving - Planning
End-to-end self-driving car pipeline using deep learning, computer vision, and Udacity simulator.
This repository contains the code for running an autonomous vehicle in a simulated environment.
DeepSteer-Vis is an autonomous driving agent trained using behavioral cloning on a modified NVIDIA PilotNet architecture with hyper-regularization. It integrates with the Udacity Simulator and features a real-time visual explainability layer using Grad-CAM to visualize the model's focus on lane lines and road boundaries.
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