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 3426–3450 of 6092 papers

TitleStatusHype
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction—0
Stochastic Future Prediction in Real World Driving Scenarios—0
Stochastic Market Games—0
Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions—0
Stochastic MPC with Multi-modal Predictions for Traffic Intersections—0
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving—0
StreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction—0
Stream Query Denoising for Vectorized HD Map Construction—0
StreamYOLO: Real-time Object Detection for Streaming Perception—0
StreetCrafter: Street View Synthesis with Controllable Video Diffusion Models—0
Street-Map Based Validation of Semantic Segmentation in Autonomous Driving—0
StreetSurfGS: Scalable Urban Street Surface Reconstruction with Planar-based Gaussian Splatting—0
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph—0
Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset—0
Structure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor—0
Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving—0
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations—0
STT: Stateful Tracking with Transformers for Autonomous Driving—0
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow—0
An empirical study of testing machine learning in the wild—0
Study of Dropout in PointPillars with 3D Object Detection—0
ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models—0
StyleLess layer: Improving robustness for real-world driving—0
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control—0
SUIT: Learning Significance-guided Information for 3D Temporal Detection—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