Autonomous driving

Models 8

• Research previewGen 1 Qwen
  Qwen-RobotWorld

  By Alibaba

  Language-conditioned video world model for embodied AI that predicts physically grounded future visual trajectories from natural language instructions and current observations. Supports robotic manipulation, autonomous driving, indoor navigation, and human-to-robot transfer. Built on a 60-layer double-stream diffusion transformer coupled with Qwen2.5-VL semantics.

  🎥Video generation🤖Robotics🚗Autonomous driving
  NewVideo

  Released 9d ago
• AnnouncementGen 3
  NVIDIA Alpamayo 2 Super

  By NVIDIA

  A 32-billion-parameter open reasoning-based vision language action (VLA) model for level 4 autonomous vehicle development. Processes 360-degree multi-camera input to enable perception, reasoning, and trajectory planning across the full driving stack. Outputs chain-of-causation traces, Meta-Actions, and trajectory predictions.

  🤖Robotics🏷️Data labeling👁️Computer vision assistance🚗Autonomous driving
  NewMultimodal

  Released 25d ago
• Gen 3
  NVIDIA Cosmos 3

  By NVIDIA

  Cosmos 3 is NVIDIA’s open physical-AI foundation model for vision reasoning, world simulation, multimodal generation, and action prediction.

  🎮Interactive simulation🔀Synthetic data🤖Robotics🚗Autonomous driving
  NewMultimodal

  Released 25d ago
• Gen 3
  Asset Harvester

  By NVIDIA

  Asset Harvester is NVIDIA’s open framework for extracting reusable 3D assets from sparse autonomous-driving observations. It turns one or a few in-the-wild object views from driving logs into complete, simulation-ready 3D assets, even under occlusion, noisy calibration, and viewpoint bias.

  🎲3D objects🎥3D scenes🚗Autonomous driving
  Multimodal

  Released 3mo ago
• Gen 3
  Alpamayo 1.5 10B

  By NVIDIA

  Alpamayo 1.5-10B is NVIDIA’s open 10B vision-language-action model for autonomous driving. It is built as a steerable reasoning engine for AV research, combining multi-camera visual input, text, and egomotion history to produce both chain-of-causation reasoning and future driving trajectories.

  🚗Autonomous driving🔍Advanced reasoning🔍Image interpretation👁️Computer vision assistance
  Multimodal

  Released 3mo ago
• Gen 3
  FlashDrive

  By Z Lab

  FlashDrive is Z Lab’s real-time inference framework for vision-language-action autonomous driving models. It is designed to make reasoning-based end-to-end driving practical by accelerating all major inference stages, reducing latency from 716 ms to 159 ms on Alpamayo 1.5 while keeping accuracy nearly unchanged.

  🧠AI inference🗃️Model utilization🚗Autonomous driving
  Multimodal

  Released 3mo ago
• Gen 7
  Alpamayo R1

  By NVIDIA

  Alpamayo-R1 is NVIDIA's vision-language-action model for autonomous driving, combining Chain of Causation reasoning with trajectory planning to handle long-tail, safety-critical situations more robustly and with interpretable decisions.

  🚗Autonomous driving🔍SEO content💼LinkedIn messages
  Text

  Released 7mo ago
• Gen 3
  Cosmos Reason

  By NVIDIA

  Cosmos Reason is NVIDIA’s open, customizable 7B-parameter reasoning VLM for physical AI and robotics. It learns space/time/physics “common sense,” plans actions from video/images, and was trained with SFT + RL. Available under the NVIDIA Open Model License on GitHub/Hugging Face and as an NVIDIA NIM.

  🚗Autonomous driving🍔Burger images🤖Cybernetic art
  Text

  Released 9mo ago