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 3476–3500 of 6092 papers

TitleStatusHype
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing—0
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles—0
SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving—0
SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs—0
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification—0
Synthetic Data for Deep Learning—0
Synthetic Datasets for Autonomous Driving: A Survey—0
Synthetic outlier generation for anomaly detection in autonomous driving—0
Synthetic-to-Real Domain Adaptation for Lane Detection—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint—0
SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving—0
Systematic Testing of Convolutional Neural Networks for Autonomous Driving—0
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline—0
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting—0
T2SG: Traffic Topology Scene Graph for Topology Reasoning in Autonomous Driving—0
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition—0
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning—0
Tackling Variabilities in Autonomous Driving—0
TADAP: Trajectory-Aided Drivable area Auto-labeling with Pre-trained self-supervised features in winter driving conditions—0
TAD: Trigger Approximation based Black-box Trojan Detection for AI—0
TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models—0
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory—0
Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding—0
Taming and Leveraging Interference in Mobile Radar Networks—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