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 1976–2000 of 6092 papers

TitleStatusHype
MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction—0
Driver Assistance System Based on Multimodal Data Hazard Detection—0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator—0
Anytime Incremental ρPOMDP Planning in Continuous Spaces—0
SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs—0
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification—0
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach—0
Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection—0
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning—0
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation—0
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving—0
INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation—0
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding—0
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection—0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems—0
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain—0
SSF: Sparse Long-Range Scene Flow for Autonomous DrivingCode0
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect CommunicationCode0
Scenario Understanding of Traffic Scenes Through Large Visual Language Models—0
A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts—0
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting—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