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 2401–2450 of 6092 papers

TitleStatusHype
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Automatic Map Update Using Dashcam Videos—0
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment—0
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review—0
Automatic Image Annotation for Mapped Features Detection—0
A Hybrid Approach for Extending Automotive Radar Operation to NLOS Urban Scenarios—0
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data—0
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors—0
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems—0
Deep-learning-based on-chip rapid spectral imaging with high spatial resolution—0
Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving—0
Automatic driving lane change safety prediction model based on LSTM—0
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey—0
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN—0
Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey—0
Automatic Discovery and Assessment of Interpretable Systematic Errors in Semantic Segmentation—0
Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses—0
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review—0
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning—0
Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework—0
3D Object Visibility Prediction in Autonomous Driving—0
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching—0
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses—0
Deep Learning Based 3D Segmentation: A Survey—0
Automatic Building and Labeling of HD Maps with Deep Learning—0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer—0
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios—0
A Hierarchical MPC Approach to Car-Following via Linearly Constrained Quadratic Programming—0
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving—0
Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving—0
Formal Certification Methods for Automated Vehicle Safety Assessment—0
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems—0
A Hierarchical Image Analysis for Extracting Parking Lot Structures from Aerial Images—0
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection—0
Deep Inverse Sensor Models as Priors for evidential Occupancy Mapping—0
Automated Parking Planning with Vision-Based BEV Approach—0
Deep Instance Segmentation with Automotive Radar Detection Points—0
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving—0
Deep Event-based Object Detection in Autonomous Driving: A Survey—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving—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