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 2401–2425 of 6092 papers

TitleStatusHype
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
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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