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 3201–3250 of 6092 papers

TitleStatusHype
Attention-based Adversarial Appearance Learning of Augmented Pedestrians—0
Attention-based U-Net Method for Autonomous Lane Detection—0
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds—0
Attention for Adversarial Attacks: Learning from your Mistakes—0
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation—0
Attention, Please! PixelSHAP Reveals What Vision-Language Models Actually Focus On—0
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
Attribution-based XAI Methods in Computer Vision: A Review—0
AttTrack: Online Deep Attention Transfer for Multi-object Tracking—0
A two-stage data association approach for 3D Multi-object Tracking—0
AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction—0
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier—0
Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Augmenting Vehicle Localization by Cooperative Sensing of the Driving Environment: Insight on Data Association in Urban Traffic Scenarios—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
A Unified Framework for Online Trip Destination Prediction—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests—0
AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection—0
Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications—0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
AutoEncoding Tree for City Generation and Applications—0
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving—0
AutoLay: Benchmarking amodal layout estimation for autonomous driving—0
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy—0
Automated Augmentation with Reinforcement Learning and GANs for Robust Identification of Traffic Signs using Front Camera Images—0
Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment—0
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning—0
Automated Parking Planning with Vision-Based BEV Approach—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
Formal Certification Methods for Automated Vehicle Safety Assessment—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
Automatic Building and Labeling of HD Maps with Deep Learning—0
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning—0
Automatic Discovery and Assessment of Interpretable Systematic Errors in Semantic Segmentation—0
Automatic driving lane change safety prediction model based on LSTM—0
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems—0
Automatic Image Annotation for Mapped Features Detection—0
Automatic Map Update Using Dashcam Videos—0
Automatic parking planning control method based on improved A* algorithm—0
Automatic Rule Learning for Autonomous Driving Using Semantic Memory—0
Automatic Signboard Recognition in Low Quality Night Images—0
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing—0
AutoMine: An Unmanned Mine Dataset—0
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks—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