SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 76100 of 6092 papers

TitleStatusHype
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
Generative AI for Autonomous Driving: Frontiers and OpportunitiesCode3
Generalized Trajectory Scoring for End-to-end Multimodal PlanningCode3
Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingCode3
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and GenerationCode3
CarLLaVA: Vision language models for camera-only closed-loop drivingCode3
HPNet: Dynamic Trajectory Forecasting with Historical Prediction AttentionCode3
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous DrivingCode3
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
Leveraging Enhanced Queries of Point Sets for Vectorized Map ConstructionCode3
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR SynthesisCode3
GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial UnderstandingCode3
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and OpportunitiesCode3
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
GenAD: Generative End-to-End Autonomous DrivingCode3
Behavior Generation with Latent ActionsCode3
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous DrivingCode3
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and ReasoningCode3
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous DrivingCode3
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
DeFlow: Decoder of Scene Flow Network in Autonomous DrivingCode3
Embodied Understanding of Driving ScenariosCode3
PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian SplattingCode3
DrivingWorld: Constructing World Model for Autonomous Driving via Video GPTCode3
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-TuningCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified