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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 6092 papers

TitleStatusHype
HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous DrivingCode3
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
CarLLaVA: Vision language models for camera-only closed-loop drivingCode3
iDisc: Internal Discretization for Monocular Depth EstimationCode3
Leveraging Enhanced Queries of Point Sets for Vectorized Map ConstructionCode3
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR SynthesisCode3
MapTR: Structured Modeling and Learning for Online Vectorized HD Map ConstructionCode3
MapTRv2: An End-to-End Framework for Online Vectorized HD Map ConstructionCode3
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge BasesCode3
HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and GenerationCode3
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking ScenariosCode3
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous DrivingCode3
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based AgentsCode3
GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and ReconstructionCode3
HPNet: Dynamic Trajectory Forecasting with Historical Prediction AttentionCode3
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous DrivingCode3
Generalizing Motion Planners with Mixture of Experts for Autonomous DrivingCode3
Generalized Trajectory Scoring for End-to-end Multimodal PlanningCode3
Generative AI for Autonomous Driving: Frontiers and OpportunitiesCode3
GenAD: Generative End-to-End Autonomous DrivingCode3
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and OpportunitiesCode3
Enhancing End-to-End Autonomous Driving with Latent World ModelCode3
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
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All datasetsCARLA LeaderboardTown05 LongTown05 Short

Benchmark Results

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