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awesome-end-to-end-autonomous-driving
A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
https://github.com/opendilab/awesome-end-to-end-autonomous-driving
- Sumo - offer/driver-training-solutions/smart-simulator/?lang=en) .
- Hidden Biases of End-to-End Driving Models
- End-to-End Autonomous Driving: Challenges and Frontiers
- Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors
- ReasonNet: End-to-End Driving with Temporal and Global Reasoning
- CARLA
- ThinkTwice: A SOTA Decoder for End-to-End Autonomous Driving under BEV
- CARLA
- Planning-oriented Autonomous Driving
- CARLA
- KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
- CARLA
- Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
- CARLA
- Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
- MetaDrive
- Learning from All Vehicles
- CARLA
- COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles
- CARLA
- Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
- CARLA
- Learning by Watching
- CARLA
- Learning situational driving
- CARLA
- Exploring the Limitations of Behavior Cloning for Autonomous Driving
- CARLA
- End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
- CARLA
- End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
- CARLA
- NEAT: Neural Attention Fields for End-to-End Autonomous Driving
- CARLA
- Learning to drive from a world on rails
- CARLA
- Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
- CARLA
- Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
- CARLA
- PlanT: Explainable Planning Transformers via Object-Level Representations
- CARLA
- Learning by cheating
- CARLA
- SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
- CARLA
- MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
- MetaDrive
- TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
- CARLA
- GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
- CARLA
- Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
- Nocturne
- Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills
- MetaDrive
- ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
- Learning to Drive in a Day
- End-to-end Learning of Driving Models from Large-scale Video Datasets
- Explaining Autonomous Driving by Learning End-to-End Visual Attention
- CARLA
- Multimodal End-to-End Autonomous Driving
- CARLA
- Automotive Driving Models
- Urban Driving with Conditional Imitation Learning
- FlowDriveNet: An End-to-End Network for Learning Driving Policies from Image Optical Flow and LiDAR Point Flow
- Grounding Human-to-Vehicle Advice for Self-driving Vehicles
- Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation
- CARLA
- Learning a Decision Module by Imitating Driver’s Control Behaviors Junning
- CARLA