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 2451–2475 of 6092 papers

TitleStatusHype
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving—0
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation—0
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases—0
AGNES: Abstraction-guided Framework for Deep Neural Networks Security—0
DeepDyve: Dynamic Verification for Deep Neural Networks—0
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images—0
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing—0
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving—0
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy—0
Aggregated Sparse Attention for Steering Angle Prediction—0
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation—0
AutoLay: Benchmarking amodal layout estimation for autonomous driving—0
Deep Depth Completion from Extremely Sparse Data: A Survey—0
3D Object Proposals for Accurate Object Class Detection—0
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks—0
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking—0
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data—0
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving—0
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems—0
DeepBbox: Accelerating Precise Ground Truth Generation for Autonomous Driving Datasets—0
AutoEncoding Tree for City Generation and Applications—0
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds—0
HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction—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