Co-Design for Autonomous Vehicle Semantic Segmentation: A Novel Approach

This ArXiv paper explores a promising co-design approach for improving semantic segmentation in autonomous driving, focusing on the interplay between optics, sensors, and the model. The work potentially enhances the robustness and accuracy of perception systems in self-driving vehicles.

• •Investigates a co-design methodology for autonomous driving perception.
• •Addresses the integration of optics, sensors, and models for improved semantic understanding.
• •Potential for advancements in the robustness and accuracy of self-driving vehicle perception.