Search Results for author:
Found 3 papers, 1 papers with code
End-to-End Velocity Estimation For Autonomous Racing
Velocity estimation plays a central role in driverless vehicles, but standard and affordable methods struggle to cope with extreme scenarios like aggressive maneuvers due to the presence of high sideslip.
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective
Semantic segmentation using deep neural networks has been widely explored to generate high-level contextual information for autonomous vehicles.
Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks
Understanding the intentions of drivers at intersections is a critical component for autonomous vehicles.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
