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Autonomous driving
taaft.com/autonomous-driving
2,667 subscribers
There are 2 GPTs and 2 GPTs for Autonomous driving.
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Autonomous driving assistant
Models 7
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By AlibabaLanguage-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.NewVideoReleased 4d ago
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By NVIDIACosmos 3 is NVIDIA’s open physical-AI foundation model for vision reasoning, world simulation, multimodal generation, and action prediction.NewMultimodalReleased 20d ago
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By NVIDIAAsset 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.NewMultimodalReleased 2mo ago
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By NVIDIAAlpamayo 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.MultimodalReleased 3mo ago
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By Z LabFlashDrive 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.MultimodalReleased 3mo ago
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By NVIDIAAlpamayo-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.TextReleased 7mo ago
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By NVIDIACosmos 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.TextReleased 9mo ago
Robots 1
Discussion(1)
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Autonomous driving
mohamad Ghanbari
1y ago
Panel operator data needed
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