NAVSIM v-1

NAVSIM v1 is a benchmark dataset used to evaluate the performance of Vision-Language-Action models in autonomous driving by measuring their ability to navigate and interact within a simulated environment.

Papers using NAVSIM v-1 (4)

LaST-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