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 5726–5750 of 6092 papers

TitleStatusHype
FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye ImagesCode0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic ScenariosCode0
FIR-based Future Trajectory Prediction in Nighttime Autonomous DrivingCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual CuesCode0
Mitigating Spurious Negative Pairs for Robust Industrial Anomaly DetectionCode0
Minimizing Supervision for Free-space SegmentationCode0
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object ShapesCode0
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual LocalizationCode0
Autonomous Driving Implementation in an Experimental EnvironmentCode0
Real-Time Variational Fisheye Stereo without Rectification and UndistortionCode0
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in CrossroadsCode0
Single-Stage Open-world Instance Segmentation with Cross-task Consistency RegularizationCode0
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
UAVid: A Semantic Segmentation Dataset for UAV ImageryCode0
Sit Back and Relax: Learning to Drive Incrementally in All Weather ConditionsCode0
Valeo4Cast: A Modular Approach to End-to-End ForecastingCode0
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object DetectionCode0
Value Alignment VerificationCode0
Margin-bounded Confidence Scores for Out-of-Distribution DetectionCode0
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningCode0
Visual Probing and Correction of Object Recognition Models with Interactive user feedbackCode0
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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