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 601–625 of 6092 papers

TitleStatusHype
ABNet: Attention BarrierNet for Safe and Scalable Robot LearningCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
SemanticSpray++: A Multimodal Dataset for Autonomous Driving in Wet Surface ConditionsCode1
3D-AVS: LiDAR-based 3D Auto-Vocabulary SegmentationCode1
Instruct Large Language Models to Drive like HumansCode1
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World AttacksCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement LearningCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Real-Time Environment Condition Classification for Autonomous VehiclesCode1
Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D PerceptionCode1
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingCode1
Label-efficient Semantic Scene Completion with Scribble AnnotationsCode1
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud InterpolationCode1
CLRKDNet: Speeding up Lane Detection with Knowledge DistillationCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
NeRO: Neural Road Surface ReconstructionCode1
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous DrivingCode1
Multi-Object Tracking in the DarkCode1
Probing Multimodal LLMs as World Models for DrivingCode1
SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor ConfigurationsCode1
SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge GraphsCode1
MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object DetectionCode1
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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