repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 22d ago
autowarefoundation/auto_e2e
An open-source End-to-End AI model for self driving
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 55%NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations →
- PossiblePossibly related (embedding) · 49%OctoSense: Self-Supervised Learning for Multimodal Robot Perception →
- PossiblePossibly related (embedding) · 49%Advancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical Autonomy →
- PossiblePossibly related (embedding) · 47%SD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route Conditioning →
- PossiblePossibly related (embedding) · 47%AutoTrainess: Teaching Language Models to Improve Language Models Autonomously →
- PossiblePossibly related (embedding) · 48%Mercedes-Benz hosts open-source hardware Automotive Rapid DEvelopment Platform (ARDEP) - CNX Software →
- PossiblePossibly related (embedding) · 53%Driving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving Models →
- PossiblePossibly related (embedding) · 50%Point as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving Simulation →
Covers
Implements
paperOctoSense: Self-Supervised Learning for Multimodal Robot PerceptionpaperAdvancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical AutonomypaperSD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route ConditioningpaperAutoTrainess: Teaching Language Models to Improve Language Models Autonomously
Covers (incoming)
Implements (incoming)
paperDriving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving ModelspaperPoint as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving SimulationpaperTerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale
Related across the graph
paperTerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at ScalepaperPoint as Skeleton: Accumulated Point Cloud Enhanced Autoregressive Generation for Closed-Loop Autonomous Driving SimulationpaperAdvancing Omnimodal Embodied Agents from Isolated Skills to Everyday Physical AutonomynewsMercedes-Benz hosts open-source hardware Automotive Rapid DEvelopment Platform (ARDEP) - CNX SoftwarepaperSD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route ConditioningnewsApple’s failed self-driving car program left a legacy of powerful AI chipsnewsDRIVE – Operational Excellence for AI-accelerated engineeringpaperDriving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving ModelsnewsNVIDIA Brings Trusted, 24/7 AI Agents to Telecom OperationspaperAutoTrainess: Teaching Language Models to Improve Language Models AutonomouslypaperOctoSense: Self-Supervised Learning for Multimodal Robot Perception