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 3701–3750 of 6092 papers

TitleStatusHype
Deep Occupancy-Predictive Representations for Autonomous Driving—0
Deep Planar Parallax for Monocular Depth Estimation—0
Deep Point Set Resampling via Gradient Fields—0
Deep Q-Network Based Decision Making for Autonomous Driving—0
Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps—0
Deep Reinforcement Learning, a textbook—0
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services—0
Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception—0
Deep Reinforcement Learning for Adverse Garage Scenario Generation—0
Deep Reinforcement Learning for Autonomous Driving: A Survey—0
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation—0
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey—0
DeepRoadMapper: Extracting Road Topology From Aerial Images—0
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation—0
Deep Surrogate Q-Learning for Autonomous Driving—0
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images—0
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey—0
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models—0
DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving—0
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame—0
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment—0
Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving—0
Deformable spatial propagation network for depth completion—0
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision—0
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning—0
Denoising Low-dose Images Using Deep Learning of Time Series Images—0
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model—0
Dense Object Grounding in 3D Scenes—0
Dense Residual Networks for Gaze Mapping on Indian Roads—0
Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction—0
Dependency Decomposition and a Reject Option for Explainable Models—0
Depth-aware Fusion Method based on Image and 4D Radar Spectrum for 3D Object Detection—0
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints—0
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera—0
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking—0
Depth Estimation with Simplified Transformer—0
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views—0
DepthMamba with Adaptive Fusion—0
Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image—0
Depth Refinement for Improved Stereo Reconstruction—0
Depth Sensing Beyond LiDAR Range—0
DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation—0
Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms—0
Designing DNNs for a trade-off between robustness and processing performance in embedded devices—0
Design of Automatic Driving Safety Level and Positioning Accuracy—0
Designs and Implementations in Neural Network-based Video Coding—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems—0
Detecting Backdoor Attacks Against Point Cloud Classifiers—0
Detecting Driveable Area for Autonomous Vehicles—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