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 5051–5075 of 6092 papers

TitleStatusHype
Real-time Traffic Object Detection for Autonomous Driving—0
Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood—0
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving—0
Reason induced visual attention for explainable autonomous driving—0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning—0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
Recent Advances in Deterministic Human Motion Prediction: A Review—0
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation—0
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes—0
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving—0
ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration—0
ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation—0
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping—0
Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks—0
Reconfigurable Intelligent Surface (RIS)-aided Vehicular Networks: Their Protocols, Resource Allocation, and Performance—0
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds—0
Reconstructing the Invisible: Video Frame Restoration through Siamese Masked Conditional Variational Autoencoder—0
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding—0
Recurrent Attentive Neural Process for Sequential Data—0
Recurrent Neural Networks for video object detection—0
R2Det: Redemption from Range-view for Accurate 3D Object Detection—0
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change—0
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving—0
Reducing Overconfidence Predictions for Autonomous Driving Perception—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