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 5601–5625 of 6092 papers

TitleStatusHype
Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous DrivingCode0
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference LearningCode0
Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated VehiclesCode0
General-Purpose Deep Point Cloud Feature ExtractorCode0
GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous DrivingCode0
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density NetworksCode0
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionCode0
Backdoor Attack through Frequency DomainCode0
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance VotingCode0
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
Attacking by Aligning: Clean-Label Backdoor Attacks on Object DetectionCode0
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) DecisionsCode0
MV-MOS: Multi-View Feature Fusion for 3D Moving Object SegmentationCode0
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent DetectionCode0
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous DrivingCode0
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D ObjectsCode0
Treble Counterfactual VLMs: A Causal Approach to HallucinationCode0
A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian DetectionCode0
Text Detection and Recognition in the Wild: A ReviewCode0
Text-driven Online Action DetectionCode0
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical SystemsCode0
Quantification of Actual Road User Behavior on the Basis of Given Traffic RulesCode0
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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