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 901–925 of 6092 papers

TitleStatusHype
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language ModelCode1
GaussianWorld: Gaussian World Model for Streaming 3D Occupancy PredictionCode2
GaussianAD: Gaussian-Centric End-to-End Autonomous DrivingCode2
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous DrivingCode2
MMD-OPT : Maximum Mean Discrepancy Based Sample Efficient Collision Risk Minimization for Autonomous Driving—0
Doe-1: Closed-Loop Autonomous Driving with Large World ModelCode2
Automatic Image Annotation for Mapped Features Detection—0
Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model—0
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement LearningCode0
Static-Dynamic Class-level Perception Consistency in Video Semantic Segmentation—0
GPD-1: Generative Pre-training for DrivingCode2
Physical Informed Driving World Model—0
Neural Observation Field Guided Hybrid Optimization of Camera PlacementCode0
DriveMM: All-in-One Large Multimodal Model for Autonomous DrivingCode2
Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic ScenariosCode0
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving—0
Fast Occupancy Network—0
Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting—0
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting—0
Pilot-guided Multimodal Semantic Communication for Audio-Visual Event Localization—0
Driv3R: Learning Dense 4D Reconstruction for Autonomous DrivingCode2
Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving—0
AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations—0
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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