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 3001–3025 of 6092 papers

TitleStatusHype
QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving—0
ML KPI Prediction in 5G and B5G Networks—0
Versatile Navigation under Partial Observability via Value-guided Diffusion Policy—0
Adapting to Length Shift: FlexiLength Network for Trajectory Prediction—0
Denoising Low-dose Images Using Deep Learning of Time Series Images—0
Weak-to-Strong 3D Object Detection with X-Ray DistillationCode0
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods—0
SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior—0
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving DatasetsCode0
HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes—0
SubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control—0
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation—0
Road Obstacle Detection based on Unknown Objectness Scores—0
LORD: Large Models based Opposite Reward Design for Autonomous Driving—0
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning—0
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving—0
Low-Latency Neural Stereo Streaming—0
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving—0
ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving—0
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks—0
SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine—0
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving—0
Engineering Safety Requirements for Autonomous Driving with Large Language Models—0
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment—0
Self-Supervised Multi-Frame Neural Scene Flow—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