NAVSIM-v-1

The 'NAVSIM-v-1' dataset/benchmark is used to evaluate end-to-end autonomous driving systems by providing a structured environment for trajectory generation and decision-making assessments.

Papers using NAVSIM-v-1 (5)

DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model2026LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving2026DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving2026DriveFine: Refining-Augmented Masked Diffusion VLA for Precise and Robust Driving2026MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving2025