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 126–150 of 6092 papers

TitleStatusHype
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous DrivingCode2
CaRL: Learning Scalable Planning Policies with Simple RewardsCode2
LangCoop: Collaborative Driving with LanguageCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
LandMarkSystem Technical ReportCode2
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
Towards Generating Realistic 3D Semantic Training Data for Autonomous DrivingCode2
SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data PretrainingCode2
LightLoc: Learning Outdoor LiDAR Localization at Light SpeedCode2
Advances in 4D Generation: A SurveyCode2
Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and PlanningCode2
GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised MatchingCode2
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario UnderstandingCode2
Unlocking Generalization Power in LiDAR Point Cloud RegistrationCode2
HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single DecoderCode2
V-Max: A Reinforcement Learning Framework for Autonomous DrivingCode2
Controllable 3D Outdoor Scene Generation via Scene GraphsCode2
Chameleon: Fast-slow Neuro-symbolic Lane Topology ExtractionCode2
Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and BenchmarkCode2
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous DrivingCode2
BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop DrivingCode2
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-ResolutionCode2
VaViM and VaVAM: Autonomous Driving through Video Generative ModelingCode2
OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner FrameworkCode2
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous DrivingCode2
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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